Triple
T19273821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Well Done Abba |
E481994
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Ninad Kamat
Ninad Kamat is an Indian actor and voice artist known for his work in Hindi films, television, and dubbing for international movies.
|
E1372998
|
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: Ninad Kamat | Statement: [Well Done Abba, hasCastMember, Ninad Kamat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ninad Kamat Context triple: [Well Done Abba, hasCastMember, Ninad Kamat]
-
A.
Narhari Parikh
Narhari Parikh was an Indian freedom fighter, social worker, and close associate of Mahatma Gandhi who played a significant role in early Gandhian movements and rural reform.
-
B.
Pavun Shetty
Pavun Shetty is a television producer best known for his executive production work on the hit superhero series "The Boys."
-
C.
Shafi Inamdar
Shafi Inamdar was an Indian actor known for his work in Hindi films and television, particularly in popular series of the 1980s and 1990s.
-
D.
Vinay Dube
Vinay Dube is an Indian aviation executive and entrepreneur best known for leading and founding major airlines, including Akasa Air.
-
E.
Prashant Dalvi
Prashant Dalvi is a prominent contemporary Marathi playwright known for his significant contributions to modern Marathi theatre.
- 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: Ninad Kamat Triple: [Well Done Abba, hasCastMember, Ninad Kamat]
Generated description
Ninad Kamat is an Indian actor and voice artist known for his work in Hindi films, television, and dubbing for international movies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ninad Kamat Target entity description: Ninad Kamat is an Indian actor and voice artist known for his work in Hindi films, television, and dubbing for international movies.
-
A.
Narhari Parikh
Narhari Parikh was an Indian freedom fighter, social worker, and close associate of Mahatma Gandhi who played a significant role in early Gandhian movements and rural reform.
-
B.
Pavun Shetty
Pavun Shetty is a television producer best known for his executive production work on the hit superhero series "The Boys."
-
C.
Shafi Inamdar
Shafi Inamdar was an Indian actor known for his work in Hindi films and television, particularly in popular series of the 1980s and 1990s.
-
D.
Vinay Dube
Vinay Dube is an Indian aviation executive and entrepreneur best known for leading and founding major airlines, including Akasa Air.
-
E.
Prashant Dalvi
Prashant Dalvi is a prominent contemporary Marathi playwright known for his significant contributions to modern Marathi theatre.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbba7758819081c1c78667c59c5e |
completed | April 20, 2026, 10:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a072b6dc9988190ad9d202721674c2d |
completed | May 15, 2026, 2:19 p.m. |
| NEDg | Description generation | batch_6a072c1ad84c819094160b1d03232c7a |
completed | May 15, 2026, 2:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a072c6fd87c819080ca7d7a25cbdb63 |
completed | May 15, 2026, 2:23 p.m. |
Created at: April 10, 2026, 1:29 p.m.