Triple
T27066893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | উত্তম কুমার |
E685196
|
entity |
| Predicate | hasSignatureFilmPairingWith |
P160108
|
FINISHED |
| Object | Suchitra Sen |
—
|
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: Suchitra Sen | Statement: [উত্তম কুমার, hasSignatureFilmPairingWith, Suchitra Sen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignatureFilmPairingWith Context triple: [উত্তম কুমার, hasSignatureFilmPairingWith, Suchitra Sen]
-
A.
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.
-
B.
performedInFilmOpposite
chosen
Indicates that two performers acted together in significant, often directly interacting roles in the same film.
-
C.
featuredInFilmBy
Indicates that an entity is prominently included or showcased within a film that is created, directed, or produced by a specified person or organization.
-
D.
associatedWithLeadActorOfFilm
Indicates a relationship where one entity is connected or linked in some relevant way to the lead actor of a specified film.
-
E.
sungInFilmBy
Indicates that a particular song was vocally performed in a film by a specific person or group.
- 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_69ef14835fcc81908bd737b4267ae528 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 27, 2026, 8:25 a.m.