Triple

T22075652
Position Surface form Disambiguated ID Type / Status
Subject Kamal Amrohi E545514 entity
Predicate notableWork P4 FINISHED
Object Daera
Daera is a 1953 Hindi-language romantic drama film directed by Kamal Amrohi, known for its intense portrayal of a tragic, socially constrained love story.
 E1516829 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: Daera | Statement: [Kamal Amrohi, notableWork, Daera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daera
Context triple: [Kamal Amrohi, notableWork, Daera]
  • A. Deran
    Deran is a masculine given name used in various cultures, sometimes as a variant of names like Darren or Doran.
  • B. Darsa
    Darsa is a small, sparsely inhabited island in the Indian Ocean that forms part of Yemen’s remote Socotra archipelago, known for its isolation and rich marine life.
  • C. Derisha
    Derisha is a lexical form or word used in a linguistic context, likely representing one member of a pair of related terms alongside Perisha.
  • D. Deas
    Deas is a surname most notably associated with American actor Justin Deas, known for his roles in daytime television soap operas.
  • E. Dava
    Dava is a feminine given name most notably borne by American science writer Dava Sobel.
  • 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: Daera
Triple: [Kamal Amrohi, notableWork, Daera]
Generated description
Daera is a 1953 Hindi-language romantic drama film directed by Kamal Amrohi, known for its intense portrayal of a tragic, socially constrained love story.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daera
Target entity description: Daera is a 1953 Hindi-language romantic drama film directed by Kamal Amrohi, known for its intense portrayal of a tragic, socially constrained love story.
  • A. Deran
    Deran is a masculine given name used in various cultures, sometimes as a variant of names like Darren or Doran.
  • B. Darsa
    Darsa is a small, sparsely inhabited island in the Indian Ocean that forms part of Yemen’s remote Socotra archipelago, known for its isolation and rich marine life.
  • C. Derisha
    Derisha is a lexical form or word used in a linguistic context, likely representing one member of a pair of related terms alongside Perisha.
  • D. Deas
    Deas is a surname most notably associated with American actor Justin Deas, known for his roles in daytime television soap operas.
  • E. Dava
    Dava is a feminine given name most notably borne by American science writer Dava Sobel.
  • 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_69e11e344dfc81909b1d88a7221329c7 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.