Triple
T25137941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dean of NFL Referees |
E629712
|
entity |
| Predicate | impliesLeadershipIn |
P141579
|
FINISHED |
| Object | NFL officiating |
—
|
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: NFL officiating | Statement: [Dean of NFL Referees, impliesLeadershipIn, NFL officiating]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impliesLeadershipIn Context triple: [Dean of NFL Referees, impliesLeadershipIn, NFL officiating]
-
A.
leadershipImplication
chosen
Indicates that one entity’s leadership role, behavior, or position has consequences, influence, or inferred responsibilities for another entity or situation.
-
B.
leadershipContext
Indicates the situational or organizational setting in which leadership is exercised or expressed between entities.
-
C.
areLeadersIn
Indicates that the specified entities hold leadership roles or positions of authority within a given group, organization, or context.
-
D.
involvesLeader
Indicates that the relationship or action includes or is carried out by an entity serving in a leadership role.
-
E.
sharesLeadershipWith
Indicates that two entities jointly hold or participate in leadership roles or responsibilities, sharing authority or decision-making power.
- 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_69e2ff338250819096ff6c8892804389 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f46600ae608190ae5e662fd4a7e5a5 |
completed | May 1, 2026, 8:36 a.m. |
| PD | Predicate disambiguation | batch_69f45cfb53f4819099bba48c5057e787 |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 6:29 a.m.