Triple
T3038218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Madden |
E83061
|
entity |
| Predicate | gamesTiedAsHeadCoach |
P44735
|
FINISHED |
| Object | 7 (regular season) |
—
|
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: 7 (regular season) | Statement: [John Madden, gamesTiedAsHeadCoach, 7 (regular season)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gamesTiedAsHeadCoach Context triple: [John Madden, gamesTiedAsHeadCoach, 7 (regular season)]
-
A.
headCoachWinningTeam
Indicates that the subject is the head coach of the team that won a particular game, match, or competition.
-
B.
headCoachTeam
Indicates that a person serves as the head coach of a particular team.
-
C.
gamesCoachedWithTeam
Indicates the number of games a coach has led while associated with a specific team.
-
D.
headCoachInLeague
Indicates that a person serves as the head coach of a team that competes in the specified league.
-
E.
workedUnderHeadCoach
Indicates that one person held a role or position under the authority or supervision of another person who was serving as the head coach.
- 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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b2e03c88190b4e2f01f07c9303a |
completed | March 8, 2026, 3:52 p.m. |
| PD | Predicate disambiguation | batch_69ad961fc62c819087c4c3a44b00847d |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f6af3881909f4547967384114c |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3:01 p.m.