Triple
T16850397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unforgettable (2017 film) |
E409658
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Ravi D. Mehta
Ravi D. Mehta is a film producer known for his work on projects such as the 2017 movie "Unforgettable."
|
E1242393
|
NE FINISHED |
How this triple was built (4 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: Ravi D. Mehta | Statement: [Unforgettable (2017 film), producer, Ravi D. Mehta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ravi D. Mehta Context triple: [Unforgettable (2017 film), producer, Ravi D. Mehta]
-
A.
Neil K. Garg
Neil K. Garg is an American organic chemist and UCLA professor renowned for his innovative work in synthetic methodology and chemistry education.
-
B.
Dr. Shriram Lagoo
Dr. Shriram Lagoo was a renowned Indian actor and director celebrated for his powerful performances in Marathi theatre as well as Hindi and Marathi cinema.
-
C.
Sanjay Jain
Sanjay Jain is an economist recognized for his academic contributions and scholarship associated with the Delhi School of Economics.
-
D.
Vikram Adve
Vikram Adve is a computer scientist best known as a co-creator of the LLVM compiler infrastructure and a professor at the University of Illinois at Urbana-Champaign.
-
E.
Ravi K. Chandran
Ravi K. Chandran is an acclaimed Indian cinematographer known for his visually striking work across Hindi and Tamil cinema.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ravi D. Mehta Triple: [Unforgettable (2017 film), producer, Ravi D. Mehta]
Generated description
Ravi D. Mehta is a film producer known for his work on projects such as the 2017 movie "Unforgettable."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ravi D. Mehta Target entity description: Ravi D. Mehta is a film producer known for his work on projects such as the 2017 movie "Unforgettable."
-
A.
Neil K. Garg
Neil K. Garg is an American organic chemist and UCLA professor renowned for his innovative work in synthetic methodology and chemistry education.
-
B.
Dr. Shriram Lagoo
Dr. Shriram Lagoo was a renowned Indian actor and director celebrated for his powerful performances in Marathi theatre as well as Hindi and Marathi cinema.
-
C.
Sanjay Jain
Sanjay Jain is an economist recognized for his academic contributions and scholarship associated with the Delhi School of Economics.
-
D.
Vikram Adve
Vikram Adve is a computer scientist best known as a co-creator of the LLVM compiler infrastructure and a professor at the University of Illinois at Urbana-Champaign.
-
E.
Ravi K. Chandran
Ravi K. Chandran is an acclaimed Indian cinematographer known for his visually striking work across Hindi and Tamil cinema.
- F. None of above. chosen
Provenance (5 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b378dda48190ab81d75f2cfe3ab3 |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d452505c8190b6d37b54b2f665f0 |
completed | May 10, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_6a00d4f1bfa48190903bedc43ed6db75 |
completed | May 10, 2026, 6:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d59b96108190a0e55f01529a0b64 |
completed | May 10, 2026, 6:59 p.m. |
Created at: April 10, 2026, 5:24 a.m.