Triple
T26631581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derice Bannock |
E668508
|
entity |
| Predicate | eventCompetedIn |
P39898
|
FINISHED |
| Object | Winter Olympics (fictional depiction) |
—
|
NE NERFINISHED |
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: Winter Olympics (fictional depiction) | Statement: [Derice Bannock, eventCompetedIn, Winter Olympics (fictional depiction)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eventCompetedIn Context triple: [Derice Bannock, eventCompetedIn, Winter Olympics (fictional depiction)]
-
A.
participatedInEvent
Indicates that an entity took part in or was actively involved in a specific event.
-
B.
competedAs
Indicates that an entity participated in a competition or contest in the role, category, or capacity specified by another entity.
-
C.
competeIn
chosen
Indicates that an entity takes part as a contender in a particular event, activity, or domain where performance is compared against others.
-
D.
competedFor
Indicates that an entity took part in a contest, rivalry, or competition in pursuit of another entity (such as a prize, position, or resource).
-
E.
hasCompetition
Indicates that one entity is in a state of rivalry or contest with another entity, typically competing for the same goal, resource, or advantage.
- 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_69ee9cff507c819092b95bf7219a702e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f61a17a7788190946f7e32d63cd43f |
completed | May 2, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69f611ab768c8190b1849c15a3e59dda |
completed | May 2, 2026, 3 p.m. |
Created at: April 27, 2026, 2:25 a.m.