Triple
T18272137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onan |
E437639
|
entity |
| Predicate | sexualActDescribedAs |
P10559
|
FINISHED |
| Object | withdrawing and spilling semen on the ground |
—
|
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: withdrawing and spilling semen on the ground | Statement: [Onan, sexualActDescribedAs, withdrawing and spilling semen on the ground]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sexualActDescribedAs Context triple: [Onan, sexualActDescribedAs, withdrawing and spilling semen on the ground]
-
A.
coneSex
Indicates a sexual or mating relationship involving a cone-shaped structure or entity.
-
B.
hasSexualityCharacteristic
Indicates that an entity possesses a specific sexual orientation or sexuality-related characteristic.
-
C.
standardSex
Indicates that two entities share the same biological sex or gender classification.
-
D.
hasSex
chosen
Indicates that one entity engages in sexual activity with another entity.
-
E.
depictsSex
Indicates that one entity visually represents or portrays sexual activity or sexual content involving 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5004f0e7c8190a7206e193012a2d3 |
completed | April 19, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69e44fd81c788190b08c6be3b07a08c5 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:34 a.m.