Triple
T27065916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autograph |
E685172
|
entity |
| Predicate | hasDirectorDebutStatusFor |
P18940
|
FINISHED |
| Object | Srijit Mukherji |
—
|
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: Srijit Mukherji | Statement: [Autograph, hasDirectorDebutStatusFor, Srijit Mukherji]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDirectorDebutStatusFor Context triple: [Autograph, hasDirectorDebutStatusFor, Srijit Mukherji]
-
A.
featureDirectorialDebutOf
chosen
Indicates that a work (typically a film) serves as the first directorial effort of a particular director.
-
B.
filmDebutIn
Indicates the first film in which a person appeared or participated, marking their debut in cinema.
-
C.
featureFilmDebut
Indicates that a work marks an entity’s first appearance or role in a feature-length film.
-
D.
filmDebutFor
Indicates that a particular work marks the first film appearance or role of a given person.
-
E.
filmDebut
Indicates the first film in which an entity (typically a person) appeared or participated, marking their initial entry into film work.
- 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_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
Created at: April 27, 2026, 8:25 a.m.