Triple
T18975875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ron Biles |
E464293
|
entity |
| Predicate | roleInSimoneBilesLife |
P95737
|
FINISHED |
| Object | primary caregiver |
—
|
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: primary caregiver | Statement: [Ron Biles, roleInSimoneBilesLife, primary caregiver]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInSimoneBilesLife Context triple: [Ron Biles, roleInSimoneBilesLife, primary caregiver]
-
A.
gymnasticsStar
Indicates that one entity is recognized as an outstanding or star performer in gymnastics.
-
B.
typeOfAthlete
Indicates that one entity is an athlete and the other specifies the kind or category of athlete they are.
-
C.
roleInTennis
Indicates the specific function or position an entity holds within the context of tennis (e.g., player, coach, umpire).
-
D.
roleInMovement
Indicates the specific function, position, or contribution an entity has within a broader movement or collective effort.
-
E.
hasRoleInLifeOf
chosen
Indicates that one entity plays a particular role or function in the life or personal experience of another entity.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d61f96c88190b9a25158e0b012ca |
completed | April 20, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f437648190b85650dae8885d48 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, noon