Triple
T17704388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Custody |
E441391
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Deven Sharma
Deven Sharma is a fictional protagonist featured in the crime drama film "In Custody."
|
E1283800
|
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: Deven Sharma | Statement: [In Custody, mainCharacter, Deven Sharma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deven Sharma Context triple: [In Custody, mainCharacter, Deven Sharma]
-
A.
Deven Bhojani
Deven Bhojani is an Indian actor and director best known for his work in Hindi television comedies and character roles in films.
-
B.
Shaan Hathiramani
Shaan Hathiramani is an entrepreneur best known as a co-founder of the mobile video-sharing app Socialcam.
-
C.
Manish Dayal
Manish Dayal is an American actor best known for his leading role in the film "The Hundred-Foot Journey" and for his work in television series such as "The Resident."
-
D.
Deepak Nayyar
Deepak Nayyar is an Indian economist and academic known for his work on development economics and his leadership roles in major universities and international economic institutions.
-
E.
Ashvin Desai
Ashvin Desai is known primarily as the husband of acclaimed Indian novelist Anita Desai.
- 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: Deven Sharma Triple: [In Custody, mainCharacter, Deven Sharma]
Generated description
Deven Sharma is a fictional protagonist featured in the crime drama film "In Custody."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Deven Sharma Target entity description: Deven Sharma is a fictional protagonist featured in the crime drama film "In Custody."
-
A.
Deven Bhojani
Deven Bhojani is an Indian actor and director best known for his work in Hindi television comedies and character roles in films.
-
B.
Shaan Hathiramani
Shaan Hathiramani is an entrepreneur best known as a co-founder of the mobile video-sharing app Socialcam.
-
C.
Manish Dayal
Manish Dayal is an American actor best known for his leading role in the film "The Hundred-Foot Journey" and for his work in television series such as "The Resident."
-
D.
Deepak Nayyar
Deepak Nayyar is an Indian economist and academic known for his work on development economics and his leadership roles in major universities and international economic institutions.
-
E.
Ashvin Desai
Ashvin Desai is known primarily as the husband of acclaimed Indian novelist Anita Desai.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47296770c8190b6b172fb647da564 |
completed | April 19, 2026, 6:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a023022e50881908a617d2f80e00956 |
completed | May 11, 2026, 7:38 p.m. |
| NEDg | Description generation | batch_6a0231b6005c8190a1d7aa10a61fa7b9 |
completed | May 11, 2026, 7:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a023228e064819095b1d73d0fd2c3c2 |
completed | May 11, 2026, 7:46 p.m. |
Created at: April 10, 2026, 10:05 a.m.