Triple
T38212879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harper Caldwell |
E1010602
|
entity |
| Predicate | comingOutTheme |
P45364
|
FINISHED |
| Object | LGBTQ+ identity and acceptance |
—
|
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: LGBTQ+ identity and acceptance | Statement: [Harper Caldwell, comingOutTheme, LGBTQ+ identity and acceptance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comingOutTheme Context triple: [Harper Caldwell, comingOutTheme, LGBTQ+ identity and acceptance]
-
A.
comingOutStatusAtStart
Indicates the disclosure state of an individual's sexual orientation or gender identity at the beginning of a specified period or event.
-
B.
hasLGBTTheme
chosen
Indicates that the subject includes, features, or centrally involves lesbian, gay, bisexual, or transgender themes or issues.
-
C.
publiclyCameOutAsTransgender
Indicates that a person has openly and publicly disclosed that they are transgender.
-
D.
genderIdentityTheme
Indicates that the work centrally involves themes, narratives, or discussions related to gender identity.
-
E.
sexualOrientationRevealedIn
Indicates that an entity’s sexual orientation is disclosed, made known, or becomes apparent within a specified context, medium, or situation.
- 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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:30 p.m.