Triple
T194658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Belichick |
E3792
|
entity |
| Predicate | headCoachStartYear |
P7106
|
FINISHED |
| Object | 2000 |
—
|
LITERAL FINISHED |
How this triple was built (2 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: 2000 | Statement: [Bill Belichick, headCoachStartYear, 2000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headCoachStartYear Context triple: [Bill Belichick, headCoachStartYear, 2000]
-
A.
managerDebutYear
Indicates the year in which an individual first began their role as a manager.
-
B.
playerCoachChampionshipYears
Indicates the years in which a specific coach led a particular player to win a championship.
-
C.
coachOf
Indicates that one entity serves as the coach (trainer or manager) of another entity, typically a person or team.
-
D.
managerDebutTeam
Indicates the team for which a person made their debut as a manager.
-
E.
notableFormerCoach
Indicates that an entity previously served as a coach of another entity and is recognized as particularly significant or prominent in that former coaching role.
- F. None of above. chosen
Provenance (4 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a25969425081908e178db8ba4631c2 |
completed | Feb. 28, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69a256769ad8819083c1d83082c0215e |
completed | Feb. 28, 2026, 2:44 a.m. |
| PDg | Predicate description generation | batch_69a2582b7f648190b0ef676b8bdc1c65 |
completed | Feb. 28, 2026, 2:51 a.m. |
Created at: Feb. 28, 2026, 2:41 a.m.