Triple
T1257380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hayley Wickenheiser |
E12423
|
entity |
| Predicate | numberOfOlympicSilverMedals |
P6617
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Hayley Wickenheiser, numberOfOlympicSilverMedals, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfOlympicSilverMedals Context triple: [Hayley Wickenheiser, numberOfOlympicSilverMedals, 1]
-
A.
olympicSilverMedals
chosen
Indicates that the subject has won one or more silver medals at the Olympic Games.
-
B.
OlympicSilverMedalYear
Indicates the year in which an entity received a silver medal at the Olympic Games.
-
C.
worldChampionshipSilverMedals
Indicates that the subject has won one or more silver medals at a world championship competition.
-
D.
silverMedalist
Indicates that an entity finished in second place in a competition or event, earning the silver medal.
-
E.
olympicBronzeMedals
Indicates that the subject has been awarded one or more Olympic bronze medals.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfa8cfa08190ac49c437a94a843c |
completed | March 1, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6c977c8190a2bf3e8b67a59beb |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:50 p.m.