Triple
T7092075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vili the Warrior |
E165217
|
entity |
| Predicate | appearedInSport |
P74483
|
FINISHED |
| Object | college football games |
—
|
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: college football games | Statement: [Vili the Warrior, appearedInSport, college football games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearedInSport Context triple: [Vili the Warrior, appearedInSport, college football games]
-
A.
representsInSport
Indicates that one entity serves as an official representative of another entity within the context of a particular sport or sporting domain.
-
B.
knownForSports
Indicates that an entity is recognized or notable for its involvement, achievement, or association with sports.
-
C.
portraysSport
Indicates that one entity visually or narratively represents or depicts a particular sport.
-
D.
notableSportIncluded
Indicates that a particular sport is prominently featured or included as a notable component within something, such as an event, program, or context.
-
E.
alsoPlayedIn
Indicates that an entity (such as a person or performer) participated or appeared in another work, production, or context in addition to the one already referenced.
- 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_69c6887e8c10819091cee237560d32da |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e53132288190b6da361d9c7218ab |
completed | March 27, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c172148190bf290c07bf579d1f |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e24af9ac8190b24eee206ba8be36 |
completed | March 27, 2026, 8:02 p.m. |
Created at: March 27, 2026, 2:41 p.m.