Triple
T15489866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gebel el-Silsila |
E378650
|
entity |
| Predicate | researchCoDirectedBy |
P118439
|
FINISHED |
| Object |
John Ward
John Ward is an archaeologist and co-director of research at the ancient Egyptian site of Gebel el-Silsila.
|
E1167663
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: John Ward | Statement: [Gebel el-Silsila, researchCoDirectedBy, John Ward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Ward Context triple: [Gebel el-Silsila, researchCoDirectedBy, John Ward]
-
A.
John Ward
John Ward was an American statesman from South Carolina who served as a delegate to the Continental Congress during the Revolutionary era.
-
B.
Edward Ward
Edward Ward was an American film composer best known for scoring numerous Hollywood films in the 1930s and 1940s.
-
C.
Thomas Ward
Thomas Ward is a common English personal name shared by numerous individuals across history, including politicians, writers, athletes, and other public figures.
-
D.
Martin Ward
Martin Ward is a straight-laced Ontario police officer who serves as the uptight, by-the-book counterpart to his more freewheeling Quebecois partner in the Canadian action-comedy film "Bon Cop, Bad Cop."
-
E.
Jonathan Ward
Jonathan Ward is an American actor best known for his work in 1980s film and television, including leading roles in family and science fiction movies.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: John Ward Triple: [Gebel el-Silsila, researchCoDirectedBy, John Ward]
Generated description
John Ward is an archaeologist and co-director of research at the ancient Egyptian site of Gebel el-Silsila.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Ward Target entity description: John Ward is an archaeologist and co-director of research at the ancient Egyptian site of Gebel el-Silsila.
-
A.
John Ward
John Ward was an American statesman from South Carolina who served as a delegate to the Continental Congress during the Revolutionary era.
-
B.
Edward Ward
Edward Ward was an American film composer best known for scoring numerous Hollywood films in the 1930s and 1940s.
-
C.
Thomas Ward
Thomas Ward is a common English personal name shared by numerous individuals across history, including politicians, writers, athletes, and other public figures.
-
D.
Martin Ward
Martin Ward is a straight-laced Ontario police officer who serves as the uptight, by-the-book counterpart to his more freewheeling Quebecois partner in the Canadian action-comedy film "Bon Cop, Bad Cop."
-
E.
Jonathan Ward
Jonathan Ward is an American actor best known for his work in 1980s film and television, including leading roles in family and science fiction movies.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: researchCoDirectedBy Context triple: [Gebel el-Silsila, researchCoDirectedBy, John Ward]
-
A.
researchLedBy
Indicates that a research project, study, or investigation is directed or overseen by a specified leader or principal investigator.
-
B.
associatedScholar
Indicates a relationship where a scholar is linked or connected to another entity (such as a work, institution, or concept) through relevant academic or intellectual involvement.
-
C.
relatedWorkOfCoAuthor
Indicates that one work is related to another through a shared co-author relationship between their creators.
-
D.
researchUser
Indicates that an entity conducts research on, studies, or investigates a particular user.
-
E.
researchOperator
Indicates that an entity conducts, manages, or is responsible for carrying out research activities on or for another entity.
- F. None of above. chosen
Provenance (7 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03faaca588190b0397bc2e27a522a |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f29cee481908f0f81c4cc581f7f |
completed | May 9, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_69ff60188df48190a1cc891757a795d0 |
completed | May 9, 2026, 4:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff60938ef081908cd88cf8242bc785 |
completed | May 9, 2026, 4:28 p.m. |
| PD | Predicate disambiguation | batch_69ded2874b788190999158e0f043be21 |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded5deee00819099fa3e43313312e1 |
completed | April 15, 2026, 12:03 a.m. |
Created at: April 10, 2026, 3:48 a.m.