Triple
T35033527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hotel Wentley Poems |
E1010844
|
entity |
| Predicate | hasAuthorSexualityContext |
P136854
|
FINISHED |
| Object | gay male perspective |
—
|
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: gay male perspective | Statement: [The Hotel Wentley Poems, hasAuthorSexualityContext, gay male perspective]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorSexualityContext Context triple: [The Hotel Wentley Poems, hasAuthorSexualityContext, gay male perspective]
-
A.
hasSexualityCharacteristic
Indicates that an entity possesses a specific sexual orientation or sexuality-related characteristic.
-
B.
hasSex
Indicates that one entity engages in sexual activity with another entity.
-
C.
hasSexStatus
Indicates that one entity has a particular sexual status or condition in relation to another entity or context.
-
D.
attitudeTowardSex
Indicates an entity’s stance, feelings, or evaluative position regarding sex or sexual activity.
-
E.
genderAndSexualityContext
chosen
Indicates the relationship between entities in terms of gender identity, sexual orientation, or related social/biological context.
- 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_69f76dcea02c81908542a223f6d5059f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd3d46d1f48190a1b20dd063224b7d |
completed | May 8, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69fd3ae1510c81908fe1280efc17feee |
completed | May 8, 2026, 1:22 a.m. |
Created at: May 3, 2026, 4:01 p.m.