Triple

T22076065
Position Surface form Disambiguated ID Type / Status
Subject C. Ramchandra E545524 entity
Predicate notableWork P4 FINISHED
Object Anarkali NE NERFINISHED

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: Anarkali | Statement: [C. Ramchandra, notableWork, Anarkali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anarkali
Context triple: [C. Ramchandra, notableWork, Anarkali]
  • A. Anarkali chosen
    Anarkali is a legendary figure in Mughal-era lore, often depicted as a courtesan or consort romantically linked to Prince Salim (later Emperor Jahangir) and celebrated in South Asian literature, film, and folklore.
  • B. Neerja
    Neerja is a 2016 Indian biographical thriller film that portrays the heroic actions of flight attendant Neerja Bhanot during the 1986 hijacking of Pan Am Flight 73.
  • C. Harkha Bai
    Harkha Bai, better known by her royal title Mariam-uz-Zamani, was a Rajput princess who became a prominent Mughal empress as the wife of Emperor Akbar and mother of Jahangir.
  • D. Gangubai Hangal
    Gangubai Hangal was a renowned Indian Hindustani classical vocalist celebrated as one of the leading exponents of the Kirana gharana.
  • E. Nandini
    Nandini is a divine cow in Hindu mythology, famed as a wish-fulfilling offspring of the celestial cow Kamadhenu.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69f128b2bf60819082d38e671f160b0f completed April 28, 2026, 9:37 p.m.
Created at: April 16, 2026, 8:28 p.m.