Triple
T1760503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brantford |
E38645
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Kevin Davis
Kevin Davis is a Canadian municipal politician who serves as the mayor of Brantford, Ontario.
|
E285661
|
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: Kevin Davis | Statement: [Brantford, hasMayor, Kevin Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Davis Context triple: [Brantford, hasMayor, Kevin Davis]
-
A.
Kevin Gage
Kevin Gage is an American actor best known for his intense supporting roles in films such as "Heat" and "G.I. Jane."
-
B.
Sean Kilpatrick
Sean Kilpatrick is an American professional basketball player known for his scoring ability as a guard in the NBA and overseas leagues.
-
C.
Jim Davidson
Jim Davidson is an American private equity investor best known as a co-founder of the technology-focused investment firm Silver Lake Partners.
-
D.
Kevin Yagher
Kevin Yagher is an American special effects and makeup artist and director best known for his work on horror and fantasy films and for creating iconic genre characters.
-
E.
Chris McAlister
Chris McAlister is a former NFL cornerback best known for his Pro Bowl career with the Baltimore Ravens, including helping the team win Super Bowl XXXV.
- 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: Kevin Davis Triple: [Brantford, hasMayor, Kevin Davis]
Generated description
Kevin Davis is a Canadian municipal politician who serves as the mayor of Brantford, Ontario.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kevin Davis Target entity description: Kevin Davis is a Canadian municipal politician who serves as the mayor of Brantford, Ontario.
-
A.
Kevin Gage
Kevin Gage is an American actor best known for his intense supporting roles in films such as "Heat" and "G.I. Jane."
-
B.
Sean Kilpatrick
Sean Kilpatrick is an American professional basketball player known for his scoring ability as a guard in the NBA and overseas leagues.
-
C.
Jim Davidson
Jim Davidson is an American private equity investor best known as a co-founder of the technology-focused investment firm Silver Lake Partners.
-
D.
Kevin Yagher
Kevin Yagher is an American special effects and makeup artist and director best known for his work on horror and fantasy films and for creating iconic genre characters.
-
E.
Chris McAlister
Chris McAlister is a former NFL cornerback best known for his Pro Bowl career with the Baltimore Ravens, including helping the team win Super Bowl XXXV.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa64410b58819098be7dc5da23d7af |
completed | March 6, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af989789308190bb124c2c1706b68c |
completed | March 10, 2026, 4:05 a.m. |
| NEDg | Description generation | batch_69af99416924819099d4acb1a2d60e0c |
completed | March 10, 2026, 4:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af99adadb08190a44f2286b25bf0aa |
completed | March 10, 2026, 4:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.