Triple

T6969281
Position Surface form Disambiguated ID Type / Status
Subject Sukumar E161561 entity
Predicate notableAward P11 FINISHED
Object SIIMA Award E161569 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: SIIMA Award | Statement: [Sukumar, notableAward, SIIMA Award]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SIIMA Award
Context triple: [Sukumar, notableAward, SIIMA Award]
  • A. SIIMA Awards chosen
    The SIIMA Awards are an annual ceremony honoring excellence in South Indian cinema, particularly Telugu (Tollywood) films, along with other South Indian film industries.
  • B. Masti Award
    The Masti Award is a literary honor named after Kannada writer Masti Venkatesha Iyengar, given in recognition of significant contributions to Kannada literature.
  • C. Imagen Award
    The Imagen Award is an honor recognizing positive portrayals and achievements of Latinos in the entertainment industry across film, television, and other media.
  • D. OCIC Award
    The OCIC Award was a film prize presented by the International Catholic Organization for Cinema to honor movies that reflected Christian and humanistic values.
  • E. Ariel Award
    The Ariel Award is Mexico’s premier national film award, presented annually by the Mexican Academy of Film Arts and Sciences to honor excellence in cinematic achievements.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db152b2081909271493a5d1469fb completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7619ada248190941ddf3b13cf3a74 completed March 28, 2026, 5:05 a.m.
Created at: March 27, 2026, 2:30 p.m.