Triple
T22094663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chachi 420 |
E545993
|
entity |
| Predicate | producer |
P490
|
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: [Chachi 420, producer, Kamal Haasan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamal Haasan Context triple: [Chachi 420, producer, Kamal Haasan]
-
A.
Kamal Hasan
chosen
Kamal Hasan is a renowned Indian film actor, director, and producer celebrated for his versatile performances across multiple Indian film industries, particularly Tamil cinema.
-
B.
Vijayakanth
Vijayakanth is an Indian actor-turned-politician best known for his leading roles in Tamil cinema and for founding the Desiya Murpokku Dravida Kazhagam (DMDK) party.
-
C.
Chiranjeevi
Chiranjeevi is a legendary Indian film actor and former politician, widely regarded as one of the biggest and most influential stars in Telugu cinema.
-
D.
Sathyaraj
Sathyaraj is an Indian actor and media personality best known for his versatile roles in Tamil cinema and his widely acclaimed performance as Kattappa in the Baahubali film series.
-
E.
Rajini Murugan
Rajini Murugan is a Tamil-language comedy-drama film starring Sivakarthikeyan, known for its lighthearted rural setting, humor, and commercial success.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e82c1481908701f255b834f192 |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.