Triple
T22310760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Demoiselle Stakes |
E551504
|
entity |
| Predicate | participantSex |
P72
|
FINISHED |
| Object | female |
—
|
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: female | Statement: [Demoiselle Stakes, participantSex, female]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: participantSex Context triple: [Demoiselle Stakes, participantSex, female]
-
A.
sexType
Indicates the specific category or type of sexual activity or sexual relationship involved between entities.
-
B.
isSingleSex
Indicates that the entity involves or is restricted to only one biological sex or gender, rather than being mixed or coeducational.
-
C.
genderOfMembers
Indicates the gender or genders associated with the members of a group or organization.
-
D.
sexOrGender
chosen
Indicates that one entity has a specified biological sex or socially constructed gender identity.
-
E.
sexStatus
Indicates whether and how a sexual relationship or sexual activity exists or has occurred between the related entities.
- 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1574e7fc0819080e3e85001ab2c90 |
completed | April 29, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_69e72ffa438481908f80879aef2a589b |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:42 p.m.