Triple
T21229422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eddie the Eagle (film score) |
E523165
|
entity |
| Predicate | associatedWithSportDepicted |
P67409
|
FINISHED |
| Object | ski jumping |
—
|
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: ski jumping | Statement: [Eddie the Eagle (film score), associatedWithSportDepicted, ski jumping]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithSportDepicted Context triple: [Eddie the Eagle (film score), associatedWithSportDepicted, ski jumping]
-
A.
associatedWithTeamSport
Indicates a relationship where an entity is connected to, involved in, or participates in a team-based sport.
-
B.
associatedWithSportMarket
Indicates a relationship where an entity is connected or linked to a specific sport-related market or segment within the sports industry.
-
C.
relatedSport
chosen
Indicates that there is an association or connection between an entity and a particular sport.
-
D.
associatedClubSport
Indicates that there is a relationship between a club and the sport with which it is connected or aligned.
-
E.
representsInSport
Indicates that one entity serves as an official representative of another entity within the context of a particular sport or sporting domain.
- 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_69e0b512ad94819087942b2ed925185f |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734ae60408190a9480b27d109b8fc |
completed | April 21, 2026, 8:26 a.m. |
| PD | Predicate disambiguation | batch_69e5f60e1a888190ba75e2e900270a4e |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:44 p.m.