Triple
T24828342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forrest Gregg |
E621256
|
entity |
| Predicate | coachOfSuperBowlTeam |
P93225
|
FINISHED |
| Object | Cincinnati Bengals |
—
|
NE NERFINISHED |
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: Cincinnati Bengals | Statement: [Forrest Gregg, coachOfSuperBowlTeam, Cincinnati Bengals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachOfSuperBowlTeam Context triple: [Forrest Gregg, coachOfSuperBowlTeam, Cincinnati Bengals]
-
A.
teamCoachedInSuperBowl
chosen
Indicates that a coach led a specific team in a Super Bowl game.
-
B.
NFLTeamCoached
Indicates that a person has served as a coach for a specific NFL team.
-
C.
teamCoachedToSuperBowlTitles
Indicates that a coach led a specific team to one or more Super Bowl championship victories.
-
D.
superBowlTeam
Indicates that a team participated as one of the competing teams in a specific Super Bowl game.
-
E.
wonSuperBowlAsHeadCoachWith
Indicates that one entity served as the head coach of a team that won the Super Bowl with the other entity (the team) during that championship season.
- F. None of above.
Provenance (3 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_69e2fac0c3b881909110e5a56c6fa46f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:06 a.m.