Triple

T5461897
Position Surface form Disambiguated ID Type / Status
Subject Pakistani cinema E122610 entity
Predicate hasAward P219 FINISHED
Object Nigar Awards
The Nigar Awards are one of Pakistan’s oldest and most prestigious film awards, recognizing excellence in the country’s cinema industry.
E520143 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: Nigar Awards | Statement: [Pakistani cinema, hasAward, Nigar Awards]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nigar Awards
Context triple: [Pakistani cinema, hasAward, Nigar Awards]
  • A. Masti Award
    The Masti Award is a literary honor named after Kannada writer Masti Venkatesha Iyengar, given in recognition of significant contributions to Kannada literature.
  • B. Ophir Award
    The Ophir Award is Israel’s premier national film award, often regarded as the Israeli equivalent of the Academy Awards.
  • C. Shiromani Sahitkar Award
    The Shiromani Sahitkar Award is a prestigious literary honor recognizing outstanding contributions to Punjabi literature.
  • D. SIIMA Awards
    The SIIMA Awards are an annual ceremony honoring excellence in South Indian cinema, particularly Telugu (Tollywood) films, along with other South Indian film industries.
  • E. Nandi Awards
    The Nandi Awards are a prestigious set of film awards presented annually by the government of Andhra Pradesh to honor excellence in Telugu cinema.
  • 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: Nigar Awards
Triple: [Pakistani cinema, hasAward, Nigar Awards]
Generated description
The Nigar Awards are one of Pakistan’s oldest and most prestigious film awards, recognizing excellence in the country’s cinema industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nigar Awards
Target entity description: The Nigar Awards are one of Pakistan’s oldest and most prestigious film awards, recognizing excellence in the country’s cinema industry.
  • A. Masti Award
    The Masti Award is a literary honor named after Kannada writer Masti Venkatesha Iyengar, given in recognition of significant contributions to Kannada literature.
  • B. Ophir Award
    The Ophir Award is Israel’s premier national film award, often regarded as the Israeli equivalent of the Academy Awards.
  • C. Shiromani Sahitkar Award
    The Shiromani Sahitkar Award is a prestigious literary honor recognizing outstanding contributions to Punjabi literature.
  • D. SIIMA Awards
    The SIIMA Awards are an annual ceremony honoring excellence in South Indian cinema, particularly Telugu (Tollywood) films, along with other South Indian film industries.
  • E. Nandi Awards
    The Nandi Awards are a prestigious set of film awards presented annually by the government of Andhra Pradesh to honor excellence in Telugu cinema.
  • 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_69bd4643f16081908d7f29e08096115a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9201dbfc8190bea22d6ecbc25b3e completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf414ebd288190ae90593232ff2db9 completed March 22, 2026, 1:09 a.m.
NEDg Description generation batch_69bf41dd96448190973b7241df5dbb24 completed March 22, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69bf42badcf08190b451b148d08e996e completed March 22, 2026, 1:15 a.m.
Created at: March 20, 2026, 2:08 p.m.