Triple
T34098983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Ross |
E874512
|
entity |
| Predicate | sportsDisciplineInvestedIn |
P179726
|
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: [Stephen Ross, sportsDisciplineInvestedIn, American football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportsDisciplineInvestedIn Context triple: [Stephen Ross, sportsDisciplineInvestedIn, American football]
-
A.
sportsDisciplineSupported
Indicates that an entity provides support for, sponsors, or otherwise backs a particular sports discipline.
-
B.
inSportDiscipline
chosen
Indicates that an entity participates, competes, or is involved in a specific sport discipline or event.
-
C.
sportsDisciplineOfTeamOwned
Indicates that a particular sports discipline is the one in which a given owned team competes or operates.
-
D.
sportsInvolvement
Indicates the nature or extent of an entity’s participation in, association with, or role within a sport or sporting activity.
-
E.
sponsorSport
Indicates that one entity financially or materially supports a sport or sporting activity, typically in exchange for promotion or association.
- 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_69f349a735208190a1dbfb1c2a121059 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f731cc6d1881908f80386ef4d70a09 |
completed | May 3, 2026, 11:30 a.m. |
| PD | Predicate disambiguation | batch_69f7317779e08190bf85777578221a6b |
completed | May 3, 2026, 11:28 a.m. |
Created at: May 1, 2026, 1:53 a.m.