Triple
T35979407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marian McCargo |
E1040519
|
entity |
| Predicate | playedSportAtLevel |
P156222
|
FINISHED |
| Object | championship level |
—
|
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: championship level | Statement: [Marian McCargo, playedSportAtLevel, championship level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedSportAtLevel Context triple: [Marian McCargo, playedSportAtLevel, championship level]
-
A.
sportsPlayed
Indicates that an entity participates in or engages in a particular sport.
-
B.
hasPlayedProfessionalSports
Indicates that an entity has participated as an athlete in an officially recognized professional-level sports competition or league.
-
C.
performsAtSport
Indicates that an entity carries out or participates in an activity at a particular sport or sporting context.
-
D.
sportsLevel
chosen
Indicates the degree or intensity of involvement, skill, or competitiveness associated with a sport or sporting activity.
-
E.
playedCollegeSport
Indicates that the subject participated in an organized college-level sport for the object institution.
- 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_69f76e28293c8190ae3f4e2208b87117 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
Created at: May 3, 2026, 4:07 p.m.