Triple
T10213093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rockstar |
E242377
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Anil Mehta |
E849867
|
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: Anil Mehta | Statement: [Rockstar, cinematographyBy, Anil Mehta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anil Mehta Context triple: [Rockstar, cinematographyBy, Anil Mehta]
-
A.
Anil Mehta
chosen
Anil Mehta is an acclaimed Indian cinematographer known for his visually rich work on prominent Hindi films such as Lagaan and Kal Ho Naa Ho.
-
B.
Rajeev Samant
Rajeev Samant is an Indian entrepreneur best known as the pioneering founder of Sula Vineyards, one of India’s largest and most influential wine producers.
-
C.
Sanjay Jain
Sanjay Jain is an economist recognized for his academic contributions and scholarship associated with the Delhi School of Economics.
-
D.
Manik Talwani
Manik Talwani is a geophysicist known for his pioneering work in gravity and magnetic field studies of the Earth and for his influential research conducted at Columbia University's Lamont Geological Observatory.
-
E.
Amin Bhatia
Amin Bhatia is a Canadian composer and synthesist known for his cinematic electronic scores for film and television.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa24efc081909714d98943543283 |
completed | April 6, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f6f4d0cc8190ae41277b15b3012d |
completed | April 9, 2026, 12:46 a.m. |
Created at: April 6, 2026, 11:03 a.m.