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.