Triple
T18912372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graham Dalton |
E462638
|
entity |
| Predicate | sexualBehavior |
P131088
|
FINISHED |
| Object | does not engage in conventional sexual activity |
—
|
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: does not engage in conventional sexual activity | Statement: [Graham Dalton, sexualBehavior, does not engage in conventional sexual activity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sexualBehavior Context triple: [Graham Dalton, sexualBehavior, does not engage in conventional sexual activity]
-
A.
attitudeTowardSex
chosen
Indicates an entity’s stance, feelings, or evaluative position regarding sex or sexual activity.
-
B.
standardSex
Indicates that two entities share the same biological sex or gender classification.
-
C.
sexes
Indicates that one entity engages in sexual activity with another entity.
-
D.
hasSexualityCharacteristic
Indicates that an entity possesses a specific sexual orientation or sexuality-related characteristic.
-
E.
coneSex
Indicates a sexual or mating relationship involving a cone-shaped structure or 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c6238e288190b30311b5d80beafb |
completed | April 20, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e9e6488190ba8df92c8058ed88 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.