Triple

T21195237
Position Surface form Disambiguated ID Type / Status
Subject Mulk Raj Anand E522309 entity
Predicate fullName P16 FINISHED
Object Mulk Raj Anand 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: Mulk Raj Anand | Statement: [Mulk Raj Anand, fullName, Mulk Raj Anand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mulk Raj Anand
Context triple: [Mulk Raj Anand, fullName, Mulk Raj Anand]
  • A. Mulk Raj Anand chosen
    Mulk Raj Anand was a pioneering Indian English novelist best known for his socially conscious works depicting the lives and struggles of the poor and marginalized in colonial India.
  • B. Raja Rao
    Raja Rao was a prominent Indian novelist and short story writer, best known for his English-language works that blend Indian philosophical themes with innovative narrative techniques.
  • C. Chetan Anand
    Chetan Anand was a pioneering Indian film director and screenwriter, best known for his influential work in Hindi cinema from the 1940s onward.
  • D. Balraj Sahni
    Balraj Sahni was a renowned Indian film and stage actor, celebrated for his naturalistic performances in Hindi cinema classics of the 1950s–1970s.
  • E. Jeet-Pritam
    Jeet-Pritam is an Indian music composer duo known for creating film soundtracks in Bollywood cinema.
  • 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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7333aa0fc81909b17eb6a26f389ec completed April 21, 2026, 8:20 a.m.
Created at: April 16, 2026, 3:08 p.m.