Triple
T13285038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prix Femina |
E316421
|
entity |
| Predicate | genderRestrictionForLaureates |
P23180
|
FINISHED |
| Object | none |
—
|
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: none | Statement: [Prix Femina, genderRestrictionForLaureates, none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genderRestrictionForLaureates Context triple: [Prix Femina, genderRestrictionForLaureates, none]
-
A.
awardCategoryGender
chosen
Indicates that an award category is designated for recipients of a specific gender.
-
B.
hasLaureate
Indicates that an entity (such as an award or prize) has a specific person or group as its laureate or recipient.
-
C.
genderOfEponym
Indicates the gender of the person after whom something (such as a place, object, or concept) is named.
-
D.
winnerGender
Indicates the gender of the entity that is the winner in a given event or competition.
-
E.
typicalLaureateType
Indicates the usual or most common type or category of laureate associated with something.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6535688190a5a4549b7be2d611 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:27 p.m.