Triple
T20417664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ananthabhadram |
E500753
|
entity |
| Predicate | cinematographer |
P1953
|
FINISHED |
| Object | Santosh Sivan |
—
|
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: Santosh Sivan | Statement: [Ananthabhadram, cinematographer, Santosh Sivan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santosh Sivan Context triple: [Ananthabhadram, cinematographer, Santosh Sivan]
-
A.
Santosh Sivan
chosen
Santosh Sivan is an acclaimed Indian cinematographer and filmmaker known for his visually striking work in films across multiple Indian languages and international cinema.
-
B.
Sangeeth Sivan
Sangeeth Sivan is an Indian film director known for his work in Hindi and Malayalam cinema, particularly in the comedy and thriller genres.
-
C.
Rajesh Nihalani
Rajesh Nihalani is a British tailor best known as the husband of Emmy-winning actress Archie Panjabi.
-
D.
Vignesh Shivan
Vignesh Shivan is an Indian film director, producer, lyricist, and actor primarily known for his work in Tamil cinema.
-
E.
Mani Ratnam
Mani Ratnam is an acclaimed Indian filmmaker known for his influential, visually distinctive and socially conscious films primarily in Tamil cinema.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a44ecf48190ba5a3872af500dc8 |
completed | April 20, 2026, 7:11 p.m. |
Created at: April 16, 2026, 11:30 a.m.