Triple

T12944312
Position Surface form Disambiguated ID Type / Status
Subject The Treatment of Bibi Haldar E309720 entity
Predicate hasTitleCharacter P5716 FINISHED
Object Bibi Haldar E1011922 NE FINISHED

How this triple was built (2 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: Bibi Haldar | Statement: [The Treatment of Bibi Haldar, hasTitleCharacter, Bibi Haldar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bibi Haldar
Context triple: [The Treatment of Bibi Haldar, hasTitleCharacter, Bibi Haldar]
  • A. Bibi Haldar chosen
    Bibi Haldar is a socially isolated, epileptic young woman in Jhumpa Lahiri’s short story whose yearning for love and normalcy exposes the constraints placed on women in her community.
  • B. Meena Khadikar
    Meena Khadikar is an Indian playback singer and composer, known for her work in Marathi and Hindi music and as a member of the renowned Mangeshkar musical family.
  • C. Sushma Kharakwal
    Sushma Kharakwal is an Indian politician who has served as the mayor of Lucknow, the capital city of Uttar Pradesh.
  • D. Nagla Chandrabhan
    Nagla Chandrabhan is a village in Uttar Pradesh, India, best known as the birthplace of prominent Indian politician and philosopher Deendayal Upadhyaya.
  • E. Kumud Mishra
    Kumud Mishra is an Indian film and theatre actor known for his versatile supporting roles in Hindi cinema, including notable performances in movies like Rockstar, Airlift, and Article 15.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e1a28688190ab9fd1307bc76b4a completed April 10, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8d9669c819090471eb7e035d83d completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 5:43 p.m.