Triple
T25918065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoran Korach |
E653086
|
entity |
| Predicate | hasPartInTheCastOf |
P154483
|
FINISHED |
| Object | Sam & Cat |
—
|
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: Sam & Cat | Statement: [Zoran Korach, hasPartInTheCastOf, Sam & Cat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartInTheCastOf Context triple: [Zoran Korach, hasPartInTheCastOf, Sam & Cat]
-
A.
hasHumanCast
Indicates that a work or production features human performers as part of its cast.
-
B.
has part in role
Indicates that an entity participates as a component or constituent specifically in a defined role within a larger whole or process.
-
C.
actúaEn
chosen
Indicates that an actor or performer takes part in or appears in a specific production, such as a film, play, or television show.
-
D.
partOfFilmographyOf
Indicates that a work (such as a film, show, or role) is included in the body of screen-related works credited to a particular person.
-
E.
mainCastIncludes
Indicates that a work’s primary cast features the specified person or character as one of its main members.
- 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_69e7ab3e025c819086771607157f0015 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 22, 2026, 8:31 a.m.