Triple
T28393795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chirlane McCray |
E719225
|
entity |
| Predicate | laterDescribedSexualityAs |
P37427
|
FINISHED |
| Object | more fluid than a fixed label |
—
|
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: more fluid than a fixed label | Statement: [Chirlane McCray, laterDescribedSexualityAs, more fluid than a fixed label]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterDescribedSexualityAs Context triple: [Chirlane McCray, laterDescribedSexualityAs, more fluid than a fixed label]
-
A.
sexualOrientationRevealedIn
Indicates that an entity’s sexual orientation is disclosed, made known, or becomes apparent within a specified context, medium, or situation.
-
B.
hasSexualityCharacteristic
Indicates that an entity possesses a specific sexual orientation or sexuality-related characteristic.
-
C.
sexualOrientation
Indicates an entity’s enduring pattern of romantic or sexual attraction toward others, typically in terms of the genders or sexes to which it is attracted.
-
D.
hasSex
Indicates that one entity engages in sexual activity with another entity.
-
E.
laterDescribedAs
chosen
Indicates that an entity is referred to or characterized by a particular description or label at a later time.
- 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_69fd7b0503a08190ba07338365b6fcc9 |
completed | May 8, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69fd7a9733dc81909199f453c0cc2bc1 |
completed | May 8, 2026, 5:54 a.m. |
Created at: April 28, 2026, 1:15 a.m.