Triple

T11546021
Position Surface form Disambiguated ID Type / Status
Subject Crash Twinsanity E273776 entity
Predicate featuresCharacter P626 FINISHED
Object N. Tropy E912529 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: N. Tropy | Statement: [Crash Twinsanity, featuresCharacter, N. Tropy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N. Tropy
Context triple: [Crash Twinsanity, featuresCharacter, N. Tropy]
  • A. N. Tropy chosen
    N. Tropy is a time-manipulating villain and recurring boss character in the Crash Bandicoot series, known for his tuning-fork-shaped staff and control over temporal dimensions.
  • B. Tetro
    Tetro is a 2009 drama film directed by Francis Ford Coppola, in which Maribel Verdú plays a key supporting role in a story about fractured family relationships and artistic rivalry in Buenos Aires.
  • C. Trife
    Trife is a rapper best known as a member of the Brooklyn hip hop collective Junior M.A.F.I.A.
  • D. Troillongan
    Troillongan is the popular nickname for Norwegian football club Rosenborg BK, reflecting its playful, “little trolls” identity among supporters.
  • E. Trophis
    Trophis is a small genus of flowering trees and shrubs in the mulberry family, known for its tropical distribution and simple, often leathery leaves.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d886e3ad548190b2c88332f5d919bd completed April 10, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e82153f48190ae64146d7f28b780 completed April 21, 2026, 2:59 a.m.
Created at: April 8, 2026, 9:37 p.m.