Triple
T22075878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naushad |
E545519
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Baiju Bawra
Baiju Bawra is a 1952 Hindi musical drama film renowned for its classical music compositions and emotionally intense storyline.
|
E1516844
|
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: Baiju Bawra | Statement: [Naushad, notableWork, Baiju Bawra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baiju Bawra Context triple: [Naushad, notableWork, Baiju Bawra]
-
A.
Kattappa
Kattappa is a loyal and duty-bound royal warrior and commander in the Indian epic film series "Baahubali," known especially for his pivotal and tragic role in the story’s central betrayal.
-
B.
Baiju
Baiju was a 13th-century Mongol general who led Mongol forces in their campaigns into Eastern Europe.
-
C.
Baiju
Baiju is an Indian-American entrepreneur best known as the co-founder of the stock trading platform Robinhood.
-
D.
Ghatotkacha
Ghatotkacha is a powerful, magic-wielding rakshasa warrior from the Mahabharata, famed for his crucial role and heroic death in the Kurukshetra War.
-
E.
Shelkar
Shelkar is a town in Tibet that serves as the administrative and historical center of Tingri County, known as a gateway to the Mount Everest region.
- 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: Baiju Bawra Triple: [Naushad, notableWork, Baiju Bawra]
Generated description
Baiju Bawra is a 1952 Hindi musical drama film renowned for its classical music compositions and emotionally intense storyline.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baiju Bawra Target entity description: Baiju Bawra is a 1952 Hindi musical drama film renowned for its classical music compositions and emotionally intense storyline.
-
A.
Kattappa
Kattappa is a loyal and duty-bound royal warrior and commander in the Indian epic film series "Baahubali," known especially for his pivotal and tragic role in the story’s central betrayal.
-
B.
Baiju
Baiju was a 13th-century Mongol general who led Mongol forces in their campaigns into Eastern Europe.
-
C.
Baiju
Baiju is an Indian-American entrepreneur best known as the co-founder of the stock trading platform Robinhood.
-
D.
Ghatotkacha
Ghatotkacha is a powerful, magic-wielding rakshasa warrior from the Mahabharata, famed for his crucial role and heroic death in the Kurukshetra War.
-
E.
Shelkar
Shelkar is a town in Tibet that serves as the administrative and historical center of Tingri County, known as a gateway to the Mount Everest region.
- 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_69e11e3523488190badd54b5d580c00d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128b1904881909a1769ce8be39e05 |
completed | April 28, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a80b7a98c8190909b31034aa04039 |
completed | May 18, 2026, 3 a.m. |
| NEDg | Description generation | batch_6a0a81f51dbc8190a49506d7536d165b |
completed | May 18, 2026, 3:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a82c10ce48190806498221cb55e7b |
completed | May 18, 2026, 3:08 a.m. |
Created at: April 16, 2026, 8:28 p.m.