Triple
T10244987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Freedia |
E240190
|
entity |
| Predicate | usesPronouns |
P37239
|
FINISHED |
| Object | she/her |
—
|
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: she/her | Statement: [Big Freedia, usesPronouns, she/her]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPronouns Context triple: [Big Freedia, usesPronouns, she/her]
-
A.
hasNeutralPronoun
Indicates that an entity is referred to using a gender-neutral pronoun.
-
B.
usesGenderAccurateLanguage
Indicates that the language employed in the context correctly reflects and respects the gender identities of the entities referenced.
-
C.
hasSubjectPronouns
chosen
Indicates that an entity is associated with one or more pronouns that function as its grammatical subject in sentences.
-
D.
hasPronounSystem
Indicates that an entity possesses or employs a particular system or set of rules for using pronouns.
-
E.
hasPronounForThey
Indicates that one entity serves as the pronoun form corresponding to “they” for another entity.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d328272c8190a3548d7f7f38cfc4 |
completed | April 7, 2026, 9:49 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ebd6c88190a1f3f4a72a99d6fe |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:26 a.m.