Triple
T23152760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellen Grace Philpotts-Page |
E578362
|
entity |
| Predicate | genderIdentityAtTime |
P43613
|
FINISHED |
| Object | publicly identified as 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: publicly identified as female | Statement: [Ellen Grace Philpotts-Page, genderIdentityAtTime, publicly identified as female]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genderIdentityAtTime Context triple: [Ellen Grace Philpotts-Page, genderIdentityAtTime, publicly identified as female]
-
A.
hasGenderIdentity
chosen
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.
genderVariant
Indicates that an entity’s gender identity or expression differs from traditional or expected norms associated with their assigned sex or gender.
-
D.
publiclyIdentifiesAs
Indicates that an entity openly declares or presents themself to others as having a particular identity or role.
-
E.
sexAssignedAtBirth
Indicates the classification of an individual's sex that was designated at the time of their birth, typically based on physical characteristics.
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18efaa1fc81908fb1987dbf732f46 |
completed | April 29, 2026, 4:54 a.m. |
| PD | Predicate disambiguation | batch_69ef89ff76808190808ee4ad9dea776b |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:01 p.m.