Triple
T19701679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Axe murder incident |
E473112
|
entity |
| Predicate | hasCasualty |
P1399
|
FINISHED |
| Object |
Mark T. Barrett
Mark T. Barrett was a victim who died in a notorious axe murder incident.
|
E1392001
|
NE FINISHED |
How this triple was built (4 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: Mark T. Barrett | Statement: [Axe murder incident, hasCasualty, Mark T. Barrett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark T. Barrett Context triple: [Axe murder incident, hasCasualty, Mark T. Barrett]
-
A.
Craig R. Barrett
Craig R. Barrett is an American engineer and businessman best known for serving as CEO and later chairman of Intel Corporation, where he played a key role in the company’s global expansion and technological leadership.
-
B.
Bryan T. Barry
Bryan T. Barry was an American lawyer and politician who served as mayor of Dallas, Texas, in the late 19th century.
-
C.
Michael Barrett
Michael Barrett is an American cinematographer known for his work on numerous feature films and television projects, including mainstream comedies and action movies.
-
D.
Craig R. Baxley
Craig R. Baxley is an American film and television director and former stunt coordinator known for his work on high-octane action projects in the 1980s and 1990s.
-
E.
Craig A. Stough
Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
- 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: Mark T. Barrett Triple: [Axe murder incident, hasCasualty, Mark T. Barrett]
Generated description
Mark T. Barrett was a victim who died in a notorious axe murder incident.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark T. Barrett Target entity description: Mark T. Barrett was a victim who died in a notorious axe murder incident.
-
A.
Craig R. Barrett
Craig R. Barrett is an American engineer and businessman best known for serving as CEO and later chairman of Intel Corporation, where he played a key role in the company’s global expansion and technological leadership.
-
B.
Bryan T. Barry
Bryan T. Barry was an American lawyer and politician who served as mayor of Dallas, Texas, in the late 19th century.
-
C.
Michael Barrett
Michael Barrett is an American cinematographer known for his work on numerous feature films and television projects, including mainstream comedies and action movies.
-
D.
Craig R. Baxley
Craig R. Baxley is an American film and television director and former stunt coordinator known for his work on high-octane action projects in the 1980s and 1990s.
-
E.
Craig A. Stough
Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
- F. None of above. chosen
Provenance (5 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642b667908190841bb5fb7bfdb3f7 |
completed | April 20, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07b4e862088190b56360981fabc66a |
completed | May 16, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_6a07b57145808190a59fce6d80935101 |
completed | May 16, 2026, 12:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07b5cc3f788190bd9bf8c76234be75 |
completed | May 16, 2026, 12:09 a.m. |
Created at: April 10, 2026, 1:46 p.m.