Triple
T4613099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simone Biles |
E100803
|
entity |
| Predicate | worldAllAroundChampion |
P21542
|
FINISHED |
| Object | 2013 |
—
|
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: 2013 | Statement: [Simone Biles, worldAllAroundChampion, 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldAllAroundChampion Context triple: [Simone Biles, worldAllAroundChampion, 2013]
-
A.
worldChampionIn
chosen
Indicates that an entity holds or has held the title of world champion in a specified field, discipline, or competition.
-
B.
worldChampionshipsGoldMedal
Indicates that the subject has won a gold medal at a world championship competition.
-
C.
worldChampionshipTitles
Indicates the number of world championship titles an entity has won.
-
D.
worldTimeTrialChampion
Indicates that the subject has won a world championship title in an individual time trial cycling event.
-
E.
worldTournament
Indicates a competitive event or series of contests held at a global level, typically involving participants from multiple countries.
- 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.