Triple
T13873303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Body Next to Body |
E333512
|
entity |
| Predicate | hasProducerOccupation |
P36865
|
FINISHED |
| Object | singer |
—
|
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: singer | Statement: [Body Next to Body, hasProducerOccupation, singer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProducerOccupation Context triple: [Body Next to Body, hasProducerOccupation, singer]
-
A.
holderIsOccupation
Indicates that the holder entity has the specified occupation or job role.
-
B.
hasProductionRole
chosen
Indicates that an entity holds a specific role or function in the production or creation process of another entity.
-
C.
endedOccupationOf
Indicates that one entity brought another entity’s occupation or control of a place or position to an end.
-
D.
hasHumanOccupationEvidence
Indicates that there is supporting evidence that a human has held or currently holds a particular occupation or job role.
-
E.
isOccupationalFormOf
Indicates that one occupation is a specific form, variant, or specialization of another, more general occupation.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a101488190bd790b28033d38b9 |
completed | April 14, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69de05972f3881909977b4c843984f88 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:14 p.m.