Triple
T29745959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalathur Kannamma |
E752750
|
entity |
| Predicate | marksFilmDebutOf |
P12418
|
FINISHED |
| Object | Kamal Haasan |
—
|
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: Kamal Haasan | Statement: [Kalathur Kannamma, marksFilmDebutOf, Kamal Haasan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marksFilmDebutOf Context triple: [Kalathur Kannamma, marksFilmDebutOf, Kamal Haasan]
-
A.
leadActorDebutFilmFor
Indicates that a person’s first film as a lead actor is the specified movie.
-
B.
filmDebutIn
Indicates the first film in which a person appeared or participated, marking their debut in cinema.
-
C.
filmDebut
chosen
Indicates the first film in which an entity (typically a person) appeared or participated, marking their initial entry into film work.
-
D.
featureFilmDebut
Indicates that a work marks an entity’s first appearance or role in a feature-length film.
-
E.
filmDebutAsChildArtist
Indicates that a person made their first appearance in a film while working in the capacity of a child artist.
- 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_69f0d62b064081908c1ae61cd68fb139 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f67367c41c8190a750374567b8e782 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 7:51 p.m.