Triple
T29827175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mother of the Revolution |
E757411
|
entity |
| Predicate | refersToPersonGender |
P122275
|
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: [Mother of the Revolution, refersToPersonGender, female]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToPersonGender Context triple: [Mother of the Revolution, refersToPersonGender, female]
-
A.
refersToGenderOfPerson
chosen
Indicates that something specifies, denotes, or is associated with the gender of a particular person.
-
B.
refersToPerson
Indicates that one entity is making reference to, mentioning, or pointing specifically to a particular person.
-
C.
hasGenderOfPerson
Indicates that a person is associated with a specific gender classification.
-
D.
genderOfPersona
Indicates the gender identity associated with a given persona.
-
E.
hasGenderInterpretation
Indicates that an entity is associated with a particular interpretation or understanding of gender.
- 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_69f22457c84c8190a6d9f56bc74082a9 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
Created at: April 29, 2026, 5:32 p.m.