Triple
T10702108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bills Mafia |
E252301
|
entity |
| Predicate | fanOfSport |
P95357
|
FINISHED |
| Object | American football |
—
|
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: American football | Statement: [Bills Mafia, fanOfSport, American football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fanOfSport Context triple: [Bills Mafia, fanOfSport, American football]
-
A.
fanBase
Indicates that one entity is the group of admirers or supporters devoted to another entity.
-
B.
fanBelief
Indicates that a fan holds a particular belief, opinion, or conviction about someone or something.
-
C.
fanDestination
Indicates that one entity is the intended target or recipient of another entity’s enthusiasm, admiration, or fandom.
-
D.
favoriteSport
Indicates that one entity has a particular sport that it prefers above all others.
-
E.
fanAccess
Indicates that an entity has permission or the ability to access fan-related content, features, or areas associated with another entity.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd8c835c8190bf1a67ee94195926 |
completed | April 9, 2026, 1:14 a.m. |
| PD | Predicate disambiguation | batch_69d6dd8ea6408190a800f9cb57372189 |
completed | April 8, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69d6df47899481909ac0e518d94883cb |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 9:12 p.m.