Triple
T693415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Subjection of Women |
E13844
|
entity |
| Predicate | authorGender |
P9920
|
FINISHED |
| Object | male |
—
|
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: male | Statement: [The Subjection of Women, authorGender, male]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorGender Context triple: [The Subjection of Women, authorGender, male]
-
A.
hasAuthorGender
chosen
Indicates that an entity (such as a work or publication) is associated with an author of a specified gender.
-
B.
authorNationality
Indicates the relationship between an author and the country or nationality with which that author is identified.
-
C.
authorName
Indicates the name associated with the person or entity that authored a given work or resource.
-
D.
bookAuthors
Indicates the relationship between a book and the person or people who authored it.
-
E.
genderCategories
Indicates the classification of an entity into one or more gender-related categories or identities.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0b1e1d08190bdd42f57be5c2a6b |
completed | March 1, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69a49d23e0a08190b08be9d1eff2a1bb |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.