Triple
T37676385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Top Chef Junior (host) |
E938104
|
entity |
| Predicate | featuresCastRole |
P204181
|
FINISHED |
| Object | young chefs |
—
|
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: young chefs | Statement: [Top Chef Junior (host), featuresCastRole, young chefs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresCastRole Context triple: [Top Chef Junior (host), featuresCastRole, young chefs]
-
A.
featuresCastMemberRole
chosen
Indicates that a work includes a specific role performed by a cast member.
-
B.
featuresCast
Indicates that a creative work includes a particular person or group as part of its cast.
-
C.
featuresCastType
Indicates that one entity includes or highlights a particular type or category of cast (e.g., actors or performers) associated with it.
-
D.
filmCharacterOf
Indicates that a person or character is a character appearing in a specified film.
-
E.
featuresCharacterRole
Indicates that a work includes a character appearing in a specific narrative or functional role.
- 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_69f76ed7b1408190ba8c93c53cb8becf |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:18 p.m.