Triple

T7816100
Position Surface form Disambiguated ID Type / Status
Subject Sharmila Tagore E181009 entity
Predicate notableWork P4 FINISHED
Object Daag
Daag is a 1973 Hindi romantic drama film, directed by Yash Chopra and starring Rajesh Khanna and Sharmila Tagore, known for its music and emotionally charged storyline.
 E694857 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: Daag | Statement: [Sharmila Tagore, notableWork, Daag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daag
Context triple: [Sharmila Tagore, notableWork, Daag]
  • A. Dag
    Dag is a Scandinavian masculine given name, most famously borne by Swedish diplomat and second United Nations Secretary-General Dag Hammarskjöld.
  • B. Diada
    Diada is the common short name for La Diada, the Catalan National Day celebrated annually on September 11 in Catalonia, Spain.
  • C. Dias
    Dias is a Portuguese-language surname shared by numerous individuals, including notable figures in arts, sports, and public life.
  • D. Rano
    Rano is a historic town and traditional emirate in northern Nigeria, located within Kano State.
  • E. Rano
    Rano is a dialect of the Uripiv-Wala-Rano-Atchin language cluster spoken in Vanuatu.
  • 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: Daag
Triple: [Sharmila Tagore, notableWork, Daag]
Generated description
Daag is a 1973 Hindi romantic drama film, directed by Yash Chopra and starring Rajesh Khanna and Sharmila Tagore, known for its music and emotionally charged storyline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daag
Target entity description: Daag is a 1973 Hindi romantic drama film, directed by Yash Chopra and starring Rajesh Khanna and Sharmila Tagore, known for its music and emotionally charged storyline.
  • A. Dag
    Dag is a Scandinavian masculine given name, most famously borne by Swedish diplomat and second United Nations Secretary-General Dag Hammarskjöld.
  • B. Diada
    Diada is the common short name for La Diada, the Catalan National Day celebrated annually on September 11 in Catalonia, Spain.
  • C. Dias
    Dias is a Portuguese-language surname shared by numerous individuals, including notable figures in arts, sports, and public life.
  • D. Rano
    Rano is a historic town and traditional emirate in northern Nigeria, located within Kano State.
  • E. Rano
    Rano is a dialect of the Uripiv-Wala-Rano-Atchin language cluster spoken in Vanuatu.
  • 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_69ca828153f48190bdb27ac46f8e0745 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf96d1f088190a1d005ffb019afe9 completed March 30, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb1488a2e48190924f44b46f925d87 completed March 31, 2026, 12:25 a.m.
NEDg Description generation batch_69cb1732bb608190aa776f23f0dc6189 completed March 31, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69cb1a62569c81908709d814954f667e completed March 31, 2026, 12:50 a.m.
Created at: March 30, 2026, 4:39 p.m.