Triple

T22033341
Position Surface form Disambiguated ID Type / Status
Subject Winston Chao E544138 entity
Predicate notableWork P4 FINISHED
Object Kabali 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: Kabali | Statement: [Winston Chao, notableWork, Kabali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kabali
Context triple: [Winston Chao, notableWork, Kabali]
  • A. Kabali chosen
    Kabali is a 2016 Indian Tamil-language action drama film starring Rajinikanth as an aging gangster seeking revenge and redemption.
  • B. Kaithi
    Kaithi is a 2019 Tamil-language action thriller film centered on an ex-convict’s overnight mission to save poisoned police officers while evading ruthless criminals.
  • C. Kaithi
    Kaithi is a historical Brahmic script from northern India that was used to write several Indo-Aryan languages, including Bhojpuri, Magahi, and Maithili.
  • D. Ikbal
    Ikbal was a rank or title in the Ottoman imperial harem hierarchy, denoting a favored consort of the sultan below the status of Haseki Sultan.
  • E. Sanju
    Sanju is a 2018 Hindi biographical drama film that chronicles the tumultuous life of Bollywood actor Sanjay Dutt, directed by Rajkumar Hirani and starring Ranbir Kapoor in the title role.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127ef97348190b8dcdcad11694ebe completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:24 p.m.