Triple
T24290315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Peter Grant Jr. |
E605796
|
entity |
| Predicate | coachedInSuperBowl |
P24899
|
FINISHED |
| Object | Super Bowl IV |
—
|
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: Super Bowl IV | Statement: [Harry Peter Grant Jr., coachedInSuperBowl, Super Bowl IV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachedInSuperBowl Context triple: [Harry Peter Grant Jr., coachedInSuperBowl, Super Bowl IV]
-
A.
hasCoachedInSuperBowl
chosen
Indicates that a person has served as a coach in at least one Super Bowl game.
-
B.
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.
-
C.
wonSuperBowlAsAssistantCoachWith
Indicates that one entity served as an assistant coach for a team that won the Super Bowl, in association with the other entity.
-
D.
teamCoachedInSuperBowl
Indicates that a coach led a specific team in a Super Bowl game.
-
E.
coachedTeamInBowlGame
Indicates that a coach led or directed a particular team in a specific bowl game.
- 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_69e295480d0c8190846fc3c2e2da1d4c |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f29155e3cc8190808723d6b56dcfc0 |
completed | April 29, 2026, 11:16 p.m. |
| PD | Predicate disambiguation | batch_69f1c457a2908190993824395b3c365d |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:08 a.m.