Triple
T22403732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahesh Manjrekar |
E553826
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object |
Nidaan
Nidaan is a Marathi-language drama film known for its sensitive portrayal of social and emotional issues, directed by filmmaker-actor Mahesh Manjrekar.
|
E1533603
|
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: Nidaan | Statement: [Mahesh Manjrekar, directed, Nidaan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nidaan Context triple: [Mahesh Manjrekar, directed, Nidaan]
-
A.
Meenas
The Meenas are an indigenous tribal community of northern India, historically associated with agrarian livelihoods, local chieftaincies, and a distinct cultural and religious heritage.
-
B.
Indeevar
Indeevar was a prominent Indian lyricist best known for his extensive and influential work in Hindi cinema songs.
-
C.
Naandi
Naandi is an alternative name for Nandi, the sacred bull and devoted mount of the Hindu god Shiva.
-
D.
Dukaan
"Dukaan" is an Indian film featuring Sikandar Kher, known for its socially relevant storyline and his notable performance.
-
E.
Nadiya Ke Paar
Nadiya Ke Paar is a 1982 Hindi romantic drama film directed by Govind Moonis, known for its rural North Indian setting and simple love story that later inspired the blockbuster Hum Aapke Hain Koun..!
- 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: Nidaan Triple: [Mahesh Manjrekar, directed, Nidaan]
Generated description
Nidaan is a Marathi-language drama film known for its sensitive portrayal of social and emotional issues, directed by filmmaker-actor Mahesh Manjrekar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nidaan Target entity description: Nidaan is a Marathi-language drama film known for its sensitive portrayal of social and emotional issues, directed by filmmaker-actor Mahesh Manjrekar.
-
A.
Meenas
The Meenas are an indigenous tribal community of northern India, historically associated with agrarian livelihoods, local chieftaincies, and a distinct cultural and religious heritage.
-
B.
Indeevar
Indeevar was a prominent Indian lyricist best known for his extensive and influential work in Hindi cinema songs.
-
C.
Naandi
Naandi is an alternative name for Nandi, the sacred bull and devoted mount of the Hindu god Shiva.
-
D.
Dukaan
"Dukaan" is an Indian film featuring Sikandar Kher, known for its socially relevant storyline and his notable performance.
-
E.
Nadiya Ke Paar
Nadiya Ke Paar is a 1982 Hindi romantic drama film directed by Govind Moonis, known for its rural North Indian setting and simple love story that later inspired the blockbuster Hum Aapke Hain Koun..!
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158b6762c8190991fc14c5ca8e609 |
completed | April 29, 2026, 1:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae9cfabe081908d6a001bcfe5372c |
completed | May 18, 2026, 10:28 a.m. |
| NEDg | Description generation | batch_6a0aea5eef848190893c8b7f6066092d |
completed | May 18, 2026, 10:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aeaf55efc81909438a39cbfd5e723 |
completed | May 18, 2026, 10:33 a.m. |
Created at: April 16, 2026, 8:46 p.m.