Triple
T6975328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leahy |
E161701
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Brian M. Leahy
Brian M. Leahy is a philosopher known for his work in logic, language, and the philosophy of mind.
|
E646641
|
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: Brian M. Leahy | Statement: [Leahy, hasNotableBearer, Brian M. Leahy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian M. Leahy Context triple: [Leahy, hasNotableBearer, Brian M. Leahy]
-
A.
Michael D. McDonough
Michael D. McDonough is an American local government official who serves as the mayor of Raytown, Missouri.
-
B.
Timothy J. Geraghty
Timothy J. Geraghty is a retired U.S. Marine Corps general best known for commanding American forces during the Multinational Force in Lebanon deployment in the early 1980s.
-
C.
Michael P. Leahy
Michael P. Leahy is an American politician and attorney who has served as the Secretary of State of Tennessee.
-
D.
Timothy S. Murphy
Timothy S. Murphy is a mathematician known for his work in analysis and for being a doctoral student of the influential analyst Elias Stein.
-
E.
Kevin M. Quinn
Kevin M. Quinn is a political scientist and quantitative methodologist known for his work in statistical modeling and empirical legal studies.
- 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: Brian M. Leahy Triple: [Leahy, hasNotableBearer, Brian M. Leahy]
Generated description
Brian M. Leahy is a philosopher known for his work in logic, language, and the philosophy of mind.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brian M. Leahy Target entity description: Brian M. Leahy is a philosopher known for his work in logic, language, and the philosophy of mind.
-
A.
Michael D. McDonough
Michael D. McDonough is an American local government official who serves as the mayor of Raytown, Missouri.
-
B.
Timothy J. Geraghty
Timothy J. Geraghty is a retired U.S. Marine Corps general best known for commanding American forces during the Multinational Force in Lebanon deployment in the early 1980s.
-
C.
Michael P. Leahy
Michael P. Leahy is an American politician and attorney who has served as the Secretary of State of Tennessee.
-
D.
Timothy S. Murphy
Timothy S. Murphy is a mathematician known for his work in analysis and for being a doctoral student of the influential analyst Elias Stein.
-
E.
Kevin M. Quinn
Kevin M. Quinn is a political scientist and quantitative methodologist known for his work in statistical modeling and empirical legal studies.
- 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_69c68854a0d88190bc0bf82263f1afce |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db3d3ab08190b107f3229c357dd2 |
completed | March 27, 2026, 7:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b8b9a0e881909ee8f92ecb6fef66 |
completed | March 28, 2026, 11:17 a.m. |
| NEDg | Description generation | batch_69c7b98e36548190827226942c41a0f0 |
completed | March 28, 2026, 11:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7ba07b138819087b4352a07c37a71 |
completed | March 28, 2026, 11:22 a.m. |
Created at: March 27, 2026, 2:31 p.m.