Triple
T657340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Great Eight |
E11675
|
entity |
| Predicate | associatedWithSpecialTeams |
P13665
|
FINISHED |
| Object | power-play specialist |
—
|
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: power-play specialist | Statement: [The Great Eight, associatedWithSpecialTeams, power-play specialist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithSpecialTeams Context triple: [The Great Eight, associatedWithSpecialTeams, power-play specialist]
-
A.
roleAtSportsTeam
chosen
Indicates the specific position or function an individual holds within a sports team.
-
B.
playedWithQuarterback
Indicates that one player participated on the same team at the same time as a specific quarterback, sharing game or practice play together.
-
C.
representedByTeam
Indicates that an entity is officially or formally represented by a specific team.
-
D.
assistsWith
Indicates that one entity helps or supports another entity in performing or accomplishing a specific task, activity, or objective.
-
E.
wonSuperBowlAsAssistantCoachWith
Indicates that one entity served as an assistant coach for a team that won the Super Bowl, in association with the other entity.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fa55e048190bd9913c6c31772d0 |
completed | March 1, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69a49d121cec81909986c91291bb4ca8 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.