Triple
T30715260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jocelyne Larocque |
E782006
|
entity |
| Predicate | isOlympicGoldMedalistIn |
P148420
|
FINISHED |
| Object | ice hockey |
—
|
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: ice hockey | Statement: [Jocelyne Larocque, isOlympicGoldMedalistIn, ice hockey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOlympicGoldMedalistIn Context triple: [Jocelyne Larocque, isOlympicGoldMedalistIn, ice hockey]
-
A.
isOlympicMedalistIn
Indicates that an individual has won at least one Olympic medal in a specified sport or event.
-
B.
olympicGoldWith
Indicates that the related entities won an Olympic gold medal together, typically as teammates in the same event or competition.
-
C.
olympicGoldMedals
Indicates that an entity has won one or more Olympic gold medals.
-
D.
olympicMedalist
Indicates that an entity has won at least one medal in an Olympic Games event.
-
E.
olympicChampionIn
chosen
Indicates that an entity has won a championship title in a specified Olympic sport or event.
- 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_69f224acd24481908ed5f96f0d69b5dd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68c219d8081909c9f471c50bffe67 |
completed | May 2, 2026, 11:43 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:35 p.m.