Triple
T22752402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pablo G. del Amo |
E562738
|
entity |
| Predicate | typeOfCreativeProfessional |
P55498
|
FINISHED |
| Object | film editor |
—
|
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: film editor | Statement: [Pablo G. del Amo, typeOfCreativeProfessional, film editor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfCreativeProfessional Context triple: [Pablo G. del Amo, typeOfCreativeProfessional, film editor]
-
A.
creatorOccupation
Indicates the professional role or job that the creator of an entity holds or held.
-
B.
designerOccupation
Indicates that one entity serves as the professional designer or design specialist for another entity.
-
C.
creatorType
Indicates the role or category of a creator in relation to the creation of something (e.g., author, artist, director).
-
D.
careerType
chosen
Indicates the kind or category of professional occupation or career path associated with an entity.
-
E.
memberProfession
Indicates that a member or individual holds or practices a particular profession or 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179baa85881909140f41f2428cc98 |
completed | April 29, 2026, 3:23 a.m. |
| PD | Predicate disambiguation | batch_69eed2b88d88819096015deb6a648801 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:24 p.m.