Triple

T20954563
Position Surface form Disambiguated ID Type / Status
Subject Matigari E516065 entity
Predicate protagonist P268 FINISHED
Object Matigari 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: Matigari | Statement: [Matigari, protagonist, Matigari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matigari
Context triple: [Matigari, protagonist, Matigari]
  • A. Matigari chosen
    Matigari is a political allegorical novel by Kenyan writer Ngũgĩ wa Thiong’o that critiques postcolonial corruption and injustice through the story of a returning freedom fighter.
  • B. Kauyumari
    Kauyumari is a central deer spirit and cultural hero in Wixárika (Huichol) religion, associated with guidance, creation, and the connection between humans, nature, and the sacred.
  • C. Matango
    Matango is a 1963 Japanese horror film directed by Ishirō Honda, known for its eerie tale of shipwrecked survivors who encounter sinister, mind-altering mushrooms on a deserted island.
  • D. Morungaba
    Morungaba is a small municipality in the state of São Paulo, Brazil, known for its rural landscapes and integration into the economically significant Campinas metropolitan area.
  • E. Kulisusu
    Kulisusu is a town and administrative center located in the province of Southeast Sulawesi, Indonesia.
  • 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_69e0b4fcd678819087a304291f14330a completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fae2299c8190afa1b9ec5bd9df32 completed April 21, 2026, 4:19 a.m.
Created at: April 16, 2026, 1:28 p.m.