Triple
T28205099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cooking with Elvis |
E716994
|
entity |
| Predicate | notableActorInProduction |
P124623
|
FINISHED |
| Object | Frank Skinner |
—
|
NE NERFINISHED |
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: Frank Skinner | Statement: [Cooking with Elvis, notableActorInProduction, Frank Skinner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableActorInProduction Context triple: [Cooking with Elvis, notableActorInProduction, Frank Skinner]
-
A.
notableProductionFor
Indicates that an entity is especially well-known or recognized for producing or creating another specified entity.
-
B.
notableStar
Indicates that the subject is a star (or stellar object) that is distinguished or noteworthy in some significant way, such as brightness, fame, or scientific interest, relative to other stars.
-
C.
notableActorInStageProduction
chosen
Indicates that a person is a distinguished or prominent actor in a particular stage production.
-
D.
notableDirector
Indicates that a person has directed a work (such as a film or show) in a way that is recognized as significant or distinguished.
-
E.
notableProducer
Indicates that an entity is a significant or well-known producer associated with another entity, such as a work, product, or project.
- 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_69efd6b826908190857e6e7dad74ed93 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_6a00a602b6b48190a9dea8ae22d2fa05 |
completed | May 10, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_6a00a559bf3881909a7b50776d8f47bb |
completed | May 10, 2026, 3:33 p.m. |
Created at: April 27, 2026, 10:34 p.m.