Triple
T29240114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albertine Simonet |
E741295
|
entity |
| Predicate | hasAmbiguousSexuality |
P83966
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Albertine Simonet, hasAmbiguousSexuality, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAmbiguousSexuality Context triple: [Albertine Simonet, hasAmbiguousSexuality, true]
-
A.
hasSexualityCharacteristic
chosen
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.
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.
-
E.
hasGenderIdentity
Indicates that an entity identifies with or experiences a particular gender.
- 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_69f0911dd6fc819097d1abb287016489 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f6648570cc819095f42f2b8233d918 |
completed | May 2, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69f65c24f8b48190af81b575f3c15be5 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 12:30 p.m.