Triple
T36716790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babe Didrikson Zaharias |
E906932
|
entity |
| Predicate | numberOfTimesAPFemaleAthleteOfYear |
—
|
GENERATED |
| Object | 6 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTimesAPFemaleAthleteOfYear Context triple: [Babe Didrikson Zaharias, numberOfTimesAPFemaleAthleteOfYear, 6]
-
A.
numberOfFemaleAthletes
Indicates the count of athletes who are female in a given context or group.
-
B.
numberOfMaleAthletes
Indicates the quantity of athletes in a given group or context who are male.
-
C.
hasFemaleCompetitors
Indicates that an entity participates in a competitive context where at least some of the competitors are female.
-
D.
athleteCount
Indicates the number of athletes associated with a given entity or context.
-
E.
hasFemaleHolders
Indicates that the specified role, position, or item is held or occupied by one or more female individuals.
- F. None of above. chosen
Provenance (1 batch)
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_69f76e73ad108190a5241585f2303e9a |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:12 p.m.