Triple
T2203786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murray Rose |
E50549
|
entity |
| Predicate | wonBronzeInEvent |
P7487
|
FINISHED |
| Object | 1960 Olympics men's 4×200 metre freestyle relay |
—
|
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: 1960 Olympics men's 4×200 metre freestyle relay | Statement: [Murray Rose, wonBronzeInEvent, 1960 Olympics men's 4×200 metre freestyle relay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonBronzeInEvent Context triple: [Murray Rose, wonBronzeInEvent, 1960 Olympics men's 4×200 metre freestyle relay]
-
A.
bronzeMedalist
Indicates that an entity finished third in a competition or event, earning the bronze medal.
-
B.
olympicBronzeYear
Indicates the year in which an entity received or achieved an Olympic bronze medal.
-
C.
worldChampionshipBronzeMedals
Indicates the number of bronze medals an entity has earned at world championship competitions.
-
D.
olympicBronzeMedals
Indicates that the subject has been awarded one or more Olympic bronze medals.
-
E.
OlympicMedal
chosen
Indicates that an entity has been awarded an Olympic medal in a specific event or discipline.
- 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.