Triple

T7816071
Position Surface form Disambiguated ID Type / Status
Subject Sharmila Tagore E181009 entity
Predicate name P16 FINISHED
Object Sharmila Tagore E181009 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: Sharmila Tagore | Statement: [Sharmila Tagore, name, Sharmila Tagore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sharmila Tagore
Context triple: [Sharmila Tagore, name, Sharmila Tagore]
  • A. Sharmila Tagore chosen
    Sharmila Tagore is an acclaimed Indian actress known for her influential work in both Bengali art cinema and mainstream Hindi films since the 1960s.
  • B. Suchitra Sen
    Suchitra Sen was a legendary Indian film actress renowned for her powerful performances in Bengali cinema and as the first Indian actress to receive an international film award.
  • C. Aparna Sen
    Aparna Sen is an acclaimed Indian filmmaker, screenwriter, and actress known for her pioneering and nuanced work in Bengali cinema.
  • D. Madhuri Mukherjee
    Madhuri Mukherjee, better known by her stage name Madhabi Mukherjee, is a renowned Indian Bengali film actress celebrated for her work in classic art-house cinema, including collaborations with director Satyajit Ray.
  • E. Smita Patil
    Smita Patil was a critically acclaimed Indian actress known for her powerful performances in parallel cinema during the 1970s and 1980s.
  • 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_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.
Created at: March 30, 2026, 4:39 p.m.