Triple
T4613096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simone Biles |
E100803
|
entity |
| Predicate | wonOlympicBronzeInEvent |
P44482
|
FINISHED |
| Object | 2016 balance beam |
—
|
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: 2016 balance beam | Statement: [Simone Biles, wonOlympicBronzeInEvent, 2016 balance beam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonOlympicBronzeInEvent Context triple: [Simone Biles, wonOlympicBronzeInEvent, 2016 balance beam]
-
A.
olympicBronzeYear
Indicates the year in which an entity received or achieved an Olympic bronze medal.
-
B.
olympicBronzeMedals
Indicates that the subject has been awarded one or more Olympic bronze medals.
-
C.
wonMedalAt
chosen
Indicates that an entity received a medal as a result of participating in a specific event or competition.
-
D.
bronzeMedalist
Indicates that an entity finished third in a competition or event, earning the bronze medal.
-
E.
OlympicMedalEvent
Indicates that an entity represents a specific Olympic Games event in which medals are awarded.
- 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_69bd43cf363c819087fd5ab441b4a3f4 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59c11f5481909f61e23503711cf5 |
completed | March 20, 2026, 2:29 p.m. |
| PD | Predicate disambiguation | batch_69bd522e2d5c8190937d0b5574f78f99 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:12 p.m.