Triple
T33245652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vadivelu |
E851090
|
entity |
| Predicate | debutFilmAsComedian |
P103830
|
FINISHED |
| Object | En Rasavin Manasile |
—
|
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: En Rasavin Manasile | Statement: [Vadivelu, debutFilmAsComedian, En Rasavin Manasile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: debutFilmAsComedian Context triple: [Vadivelu, debutFilmAsComedian, En Rasavin Manasile]
-
A.
debutInCinema
Indicates that a film or work is first publicly released or shown in movie theaters.
-
B.
theaterDebutWith
Indicates that an entity made its first appearance or performance in a theater production together with another specified entity.
-
C.
filmDebutIn
chosen
Indicates the first film in which a person appeared or participated, marking their debut in cinema.
-
D.
featureFilmDebut
Indicates that a work marks an entity’s first appearance or role in a feature-length film.
-
E.
debutAs
Indicates that an entity makes its first public appearance or introduction in a particular role, medium, or context.
- 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_69f34962386c81909ddc3bf9e18ddeb8 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:31 a.m.