Triple
T38107179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Michel |
E951546
|
entity |
| Predicate | fatherIsInSameSexRelationship |
P83305
|
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: [Jean-Michel, fatherIsInSameSexRelationship, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fatherIsInSameSexRelationship Context triple: [Jean-Michel, fatherIsInSameSexRelationship, true]
-
A.
featuresSameSexRelationship
Indicates that the subject includes or portrays a romantic or sexual relationship between individuals of the same sex.
-
B.
hasLGBTParents
chosen
Indicates that an individual has one or more parents who identify as lesbian, gay, bisexual, or transgender.
-
C.
relationshipWithFather
Indicates a familial relationship that specifically connects an individual to their father.
-
D.
surrogateFatherOf
Indicates that one entity serves as a surrogate father to another, fulfilling a paternal role without being the biological father.
-
E.
stepfatherOf
Indicates that one person is the male spouse or partner of a child's parent, but is not the child's biological or adoptive father.
- 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_69f76f065ed08190bdfb1b6d817f5b39 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.