Triple
T28748825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morisot family |
E731457
|
entity |
| Predicate | hasFemaleArtists |
P173387
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Morisot family, hasFemaleArtists, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFemaleArtists Context triple: [Morisot family, hasFemaleArtists, true]
-
A.
hasFemaleVocalist
Indicates that the subject entity features or includes at least one female vocalist as a performer.
-
B.
hasPerformerGender
Indicates that an action, event, or performance is associated with the gender of the performer who carries it out.
-
C.
allFemaleCollaboration
Indicates that the collaboration involves exclusively female participants.
-
D.
hadFemaleMembers
Indicates that the subject group or organization included one or more female individuals among its members.
-
E.
hasFemaleSpeaker
Indicates that the associated content, event, or communication is spoken or narrated by a female individual.
- 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_69f043ecb5c081909ec9da1172d68ece |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f6b56ed31481908c3e5d749e46bad9 |
completed | May 3, 2026, 2:39 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: April 28, 2026, 6:06 a.m.