Triple
T17692163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitzi Del Bra |
E441054
|
entity |
| Predicate | hasGenderIdentityInNarrative |
P38674
|
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: [Mitzi Del Bra, hasGenderIdentityInNarrative, male]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenderIdentityInNarrative Context triple: [Mitzi Del Bra, hasGenderIdentityInNarrative, male]
-
A.
hasGenderIdentity
Indicates that an entity identifies with or experiences a particular gender.
-
B.
genderIdentityInSources
Indicates that the gender identity of an entity is recorded or referenced in one or more information sources.
-
C.
protagonistGenderIdentity
chosen
Indicates the gender identity attributed to or expressed by the protagonist in a given context.
-
D.
hasGenderHistory
Indicates that an entity has undergone or experienced a change or transition in gender over time.
-
E.
hasGenderRole
Indicates that an entity is associated with, or expected to perform, a particular socially defined gender-based role or set of behaviors.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47152306c819086d483d87348db5d |
completed | April 19, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_69e3cde3673c8190a889e14ba1f07dc1 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 10:03 a.m.