Triple
T28878702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamila |
E732352
|
entity |
| Predicate | partOfCastOfFictionalWork |
P196279
|
FINISHED |
| Object | The Sinbad Show |
—
|
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: The Sinbad Show | Statement: [Jamila, partOfCastOfFictionalWork, The Sinbad Show]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfCastOfFictionalWork Context triple: [Jamila, partOfCastOfFictionalWork, The Sinbad Show]
-
A.
relatedCastMember
Indicates that two cast members are connected through a relevant relationship, such as working together on the same production or being otherwise professionally associated.
-
B.
filmCharacterOf
Indicates that a person or character is a character appearing in a specified film.
-
C.
filmCoStar
Indicates that two people appeared together as co-actors in the same film.
-
D.
partOfCastEnsembleWith
Indicates that two or more performers are members of the same cast ensemble in a shared production.
-
E.
hasFictionalCoStar
Indicates that one entity appears as a co-star alongside another entity within a fictional work or narrative.
- F. None of above. chosen
Provenance (4 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_69f05b06807c81909b4bbd4c20403a2b |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fe1fd637c08190aa95cd2478c278cb |
completed | May 8, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69fe19344bb481909b5e2144155e4add |
completed | May 8, 2026, 5:11 p.m. |
| PDg | Predicate description generation | batch_69fe1fd58ad8819093d3d705e8521014 |
completed | May 8, 2026, 5:39 p.m. |
Created at: April 28, 2026, 7:40 a.m.