Triple
T28404454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Goldwyn Girls |
E719487
|
entity |
| Predicate | typicalCastGender |
P34349
|
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: [The Goldwyn Girls, typicalCastGender, female]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCastGender Context triple: [The Goldwyn Girls, typicalCastGender, female]
-
A.
hasTypicalGenderAssociation
chosen
Indicates that one entity is commonly or culturally associated with a particular gender more than with other genders.
-
B.
hasLeadCharacterGender
Indicates that the primary or lead character in a work has a specified gender.
-
C.
genderDepicted
Indicates that the relationship specifies the gender of the entity as it is represented or portrayed in some context.
-
D.
typicalCast
Indicates that the associated entities form the usual or characteristic cast of characters commonly appearing in a given work or type of work.
-
E.
playsGender
Indicates that one entity performs or assumes a particular gender role or identity in a given context.
- 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_69eff6efd1b08190ae3cefd4f11388a2 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_6a009f53a4948190aef4ede1713e1748 |
completed | May 10, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_6a009edc53d4819080b22c1074a990f3 |
completed | May 10, 2026, 3:06 p.m. |
Created at: April 28, 2026, 1:22 a.m.