Triple
T20388212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beef |
E498012
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Ravi Nandan
Ravi Nandan is a film and television producer known for his work on acclaimed independent and prestige projects.
|
E1190274
|
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 Nandan | Statement: [Beef, executiveProducer, Ravi Nandan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ravi Nandan Context triple: [Beef, executiveProducer, Ravi Nandan]
-
A.
Ravi Nandan
Ravi Nandan is a television and film producer known for his executive production work on comedy series such as "Playing House."
-
B.
Himanshu Rai
Himanshu Rai was a prominent Indian actor and pioneering film producer-director, best known for co-founding Bombay Talkies and helping shape early Indian cinema.
-
C.
Ravi Kapoor
Ravi Kapoor is a filmmaker and creative professional best known for creating the project "Six Degrees."
-
D.
Arun Dutt
Arun Dutt is an Indian film personality best known as the son of legendary filmmaker and actor Guru Dutt.
-
E.
Amitabh Shukla
Amitabh Shukla is an Indian film editor known for his work on notable Bollywood films, including the historical drama "Mangal Pandey: The Rising."
- 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 Nandan Triple: [Beef, executiveProducer, Ravi Nandan]
Generated description
Ravi Nandan is a film and television producer known for his work on acclaimed independent and prestige projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ravi Nandan Target entity description: Ravi Nandan is a film and television producer known for his work on acclaimed independent and prestige projects.
-
A.
Ravi Nandan
chosen
Ravi Nandan is a television and film producer known for his executive production work on comedy series such as "Playing House."
-
B.
Himanshu Rai
Himanshu Rai was a prominent Indian actor and pioneering film producer-director, best known for co-founding Bombay Talkies and helping shape early Indian cinema.
-
C.
Ravi Kapoor
Ravi Kapoor is a filmmaker and creative professional best known for creating the project "Six Degrees."
-
D.
Arun Dutt
Arun Dutt is an Indian film personality best known as the son of legendary filmmaker and actor Guru Dutt.
-
E.
Amitabh Shukla
Amitabh Shukla is an Indian film editor known for his work on notable Bollywood films, including the historical drama "Mangal Pandey: The Rising."
- F. None of above.
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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790d9e5881908bde7da9e5e541a0 |
completed | April 20, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08761fdb8481908a4b9975c96aade9 |
completed | May 16, 2026, 1:50 p.m. |
| NEDg | Description generation | batch_6a0876b11c248190aefac57c32293ff0 |
completed | May 16, 2026, 1:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08772501e08190b6c104b3270cf2da |
completed | May 16, 2026, 1:54 p.m. |
Created at: April 16, 2026, 11:28 a.m.