Triple
T34288970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Delaney |
E879823
|
entity |
| Predicate | playedOtherSport |
P155257
|
FINISHED |
| Object | track and field |
—
|
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: track and field | Statement: [Joe Delaney, playedOtherSport, track and field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedOtherSport Context triple: [Joe Delaney, playedOtherSport, track and field]
-
A.
hasPlayedProfessionalSports
Indicates that an entity has participated as an athlete in an officially recognized professional-level sports competition or league.
-
B.
sportsPlayed
chosen
Indicates that an entity participates in or engages in a particular sport.
-
C.
performsAtSport
Indicates that an entity carries out or participates in an activity at a particular sport or sporting context.
-
D.
hasSportsRole
Indicates that an entity holds or is assigned a specific role or position within a sports context or organization.
-
E.
alsoPlayed
Indicates that the same entity participated in or performed in an additional role, work, or context beyond the one already specified.
- 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_69f349b6df1c81908e5e5b6c2ab6409b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fcc7338120819081cb46547d60f2cb |
completed | May 7, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
Created at: May 1, 2026, 1:57 a.m.