Triple
T11292583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julie Chu |
E267363
|
entity |
| Predicate | medalist |
P15191
|
FINISHED |
| Object | Olympic silver medal in women's ice hockey for the United States |
—
|
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: Olympic silver medal in women's ice hockey for the United States | Statement: [Julie Chu, medalist, Olympic silver medal in women's ice hockey for the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medalist Context triple: [Julie Chu, medalist, Olympic silver medal in women's ice hockey for the United States]
-
A.
goldMedalist
Indicates that the subject is the winner of a first-place gold medal in a competition or event.
-
B.
bronzeMedalist
Indicates that an entity finished third in a competition or event, earning the bronze medal.
-
C.
silverMedalist
chosen
Indicates that an entity finished in second place in a competition or event, earning the silver medal.
-
D.
worldMedalist
Indicates that an entity has won a medal at a recognized world-level championship or world competition.
-
E.
medalistForCountry
Indicates that an entity is a medal-winning representative (medalist) competing on behalf of a specified country.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e989fdac81909a4a75f1f68b55c6 |
completed | April 9, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69d787a6ca2c8190afdc24b61ccd3f8a |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.