Triple

T4951567
Position Surface form Disambiguated ID Type / Status
Subject Shyam Benegal E111179 entity
Predicate directed P7373 FINISHED
Object Bhumika E485072 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: Bhumika | Statement: [Shyam Benegal, directed, Bhumika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bhumika
Context triple: [Shyam Benegal, directed, Bhumika]
  • A. Bhumika chosen
    Bhumika is a critically acclaimed 1977 Indian Hindi-language film directed by Shyam Benegal, known for its powerful portrayal of a woman's struggle for identity and autonomy.
  • B. Nandana
    Nandana is a person known primarily as the sibling of Nanda, a figure mentioned in historical and/or cultural contexts.
  • C. Madhavi
    Madhavi is a celebrated courtesan and pivotal literary figure in ancient Tamil epic tradition, prominently featured in the Sangam-era works Silappatikaram and its sequel Manimekalai.
  • D. Aditi
    Aditi is a Vedic mother goddess in Hindu mythology, revered as the personification of boundlessness and the mother of many deities.
  • E. Apoorvai
    Apoorvai is a celebrated Marathi literary work by humorist and writer P. L. Deshpande, known for its wit and insightful social observation.
  • 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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71b561ec81908083225269222e96 completed March 20, 2026, 4:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be92420a5c8190bea911aaf5d6d29b completed March 21, 2026, 12:42 p.m.
Created at: March 20, 2026, 1:31 p.m.