Triple
T22012319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black (2005 film) |
E543606
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Debraj Sahai
Debraj Sahai is the strict yet compassionate teacher who mentors a deaf-blind girl in the Indian drama film "Black" (2005).
|
E1519187
|
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: Debraj Sahai | Statement: [Black (2005 film), mainCharacter, Debraj Sahai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debraj Sahai Context triple: [Black (2005 film), mainCharacter, Debraj Sahai]
-
A.
Subrata Saha
Subrata Saha is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Saha.
-
B.
Shiladitya Mukhopadhyaya
Shiladitya Mukhopadhyaya is an Indian entrepreneur and tech professional best known as the husband of acclaimed playback singer Shreya Ghoshal.
-
C.
Sanjay Bhalla
Sanjay Bhalla is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Bhalla.
-
D.
Sabyasachi Saha
Sabyasachi Saha is an individual notable enough to be specifically distinguished as a bearer of the surname Saha.
-
E.
Debojyoti Mishra
Debojyoti Mishra is an Indian music director and composer known for his work in Bengali and Bangladeshi cinema, noted for his melodic and folk-influenced scores.
- 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: Debraj Sahai Triple: [Black (2005 film), mainCharacter, Debraj Sahai]
Generated description
Debraj Sahai is the strict yet compassionate teacher who mentors a deaf-blind girl in the Indian drama film "Black" (2005).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Debraj Sahai Target entity description: Debraj Sahai is the strict yet compassionate teacher who mentors a deaf-blind girl in the Indian drama film "Black" (2005).
-
A.
Subrata Saha
Subrata Saha is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Saha.
-
B.
Shiladitya Mukhopadhyaya
Shiladitya Mukhopadhyaya is an Indian entrepreneur and tech professional best known as the husband of acclaimed playback singer Shreya Ghoshal.
-
C.
Sanjay Bhalla
Sanjay Bhalla is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Bhalla.
-
D.
Sabyasachi Saha
Sabyasachi Saha is an individual notable enough to be specifically distinguished as a bearer of the surname Saha.
-
E.
Debojyoti Mishra
Debojyoti Mishra is an Indian music director and composer known for his work in Bengali and Bangladeshi cinema, noted for his melodic and folk-influenced scores.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a520bc8190865f525a87255fb2 |
completed | April 28, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a8f0b39108190838cd65a53225b4c |
completed | May 18, 2026, 4:01 a.m. |
| NEDg | Description generation | batch_6a0a900214248190a0363f8afc43140b |
completed | May 18, 2026, 4:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a905a4f2881909c1e7776d6e268cb |
completed | May 18, 2026, 4:06 a.m. |
Created at: April 16, 2026, 8:22 p.m.