Triple
T10468612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bride and Prejudice |
E246867
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Santosh Sivan |
E748320
|
NE FINISHED |
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: [Bride and Prejudice, cinematographyBy, Santosh Sivan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santosh Sivan Context triple: [Bride and Prejudice, cinematographyBy, 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.
Vignesh Shivan
Vignesh Shivan is an Indian film director, producer, lyricist, and actor primarily known for his work in Tamil cinema.
-
C.
Mani Ratnam
Mani Ratnam is an acclaimed Indian filmmaker known for his influential, visually distinctive and socially conscious films primarily in Tamil cinema.
-
D.
Balu Mahendra
Balu Mahendra was an acclaimed Indian filmmaker and cinematographer known for his visually poetic, character-driven films primarily in Tamil cinema.
-
E.
K. Balachander
K. Balachander was a pioneering Indian filmmaker and screenwriter, primarily in Tamil cinema, renowned for his bold, socially conscious storytelling and for mentoring many of South India's biggest stars.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092ef810819093a4d1df83aeac09 |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9987838ac8190a6ba09305fc27621 |
completed | April 11, 2026, 12:40 a.m. |
Created at: April 6, 2026, 12:20 p.m.