Triple
T2203781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murray Rose |
E50549
|
entity |
| Predicate | wonGoldInEvent |
P15190
|
FINISHED |
| Object | 1956 Olympics men's 400 metre freestyle |
—
|
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: 1956 Olympics men's 400 metre freestyle | Statement: [Murray Rose, wonGoldInEvent, 1956 Olympics men's 400 metre freestyle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonGoldInEvent Context triple: [Murray Rose, wonGoldInEvent, 1956 Olympics men's 400 metre freestyle]
-
A.
wonOlympicGoldYear
Indicates that an entity won an Olympic gold medal in the specified year.
-
B.
OlympicMedalEvent
Indicates that an entity represents a specific Olympic Games event in which medals are awarded.
-
C.
OlympicMedal
Indicates that an entity has been awarded an Olympic medal in a specific event or discipline.
-
D.
wonTitleWith
Indicates that an entity secured a specific title, award, or championship while being associated with or representing another entity (such as a team, organization, or group).
-
E.
goldMedalist
chosen
Indicates that the subject is the winner of a first-place gold medal in a competition 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1baa0948190b07ffc347a4f714e |
completed | March 7, 2026, 6:12 a.m. |
| PD | Predicate disambiguation | batch_69abbda8a6dc8190aa855ce2d17194b1 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.