Triple
T31977597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caeneus |
E816489
|
entity |
| Predicate | formerGender |
P199785
|
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: [Caeneus, formerGender, female]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerGender Context triple: [Caeneus, formerGender, female]
-
A.
formerGenderAdmission
Indicates that an institution previously admitted a particular gender but no longer does so.
-
B.
genderCounterpartOf
Indicates a relationship where one entity is the corresponding counterpart of another with respect to gender.
-
C.
genderReversalOf
Indicates that one entity is a counterpart of another with the same role or characteristics but with the opposite gender.
-
D.
genderOfPersona
Indicates the gender identity associated with a given persona.
-
E.
fictionalGender
Indicates that one entity has a gender identity or classification that exists only within a fictional or imaginary context.
- F. None of above. chosen
Provenance (4 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_69f348f6a3008190bfb59ca695fd68e2 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff5803c02c81908b63067119f5e684 |
completed | May 9, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69ff576d8b308190b49a1e072a0ae661 |
completed | May 9, 2026, 3:49 p.m. |
| PDg | Predicate description generation | batch_69ff58031bb081909fea985b16f69da4 |
completed | May 9, 2026, 3:51 p.m. |
Created at: May 1, 2026, 12:11 a.m.