Triple

T18508195
Position Surface form Disambiguated ID Type / Status
Subject Skipp Sudduth E452255 entity
Predicate appearedIn P795 FINISHED
Object Ronin 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: Ronin | Statement: [Skipp Sudduth, appearedIn, Ronin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ronin
Context triple: [Skipp Sudduth, appearedIn, Ronin]
  • A. Ronin chosen
    Ronin is a 1998 action thriller film directed by John Frankenheimer, best known for its intricate espionage plot and realistic, high-intensity car chases set in France.
  • B. Shindo
    Shindo is a human character in the film "Godzilla vs. King Ghidorah," portrayed as a powerful Japanese businessman with a past connection to Godzilla.
  • C. Samurai
    Samurai is a spinning thrill ride at Thorpe Park in the UK known for its intense, disorienting inversions and high-speed rotations.
  • D. Tenchō
    Tenchō was a Japanese era name (nengō) of the early Heian period, used during the reign of Emperor Junna.
  • E. 47 Ronin
    47 Ronin is a 2013 fantasy action film loosely inspired by the Japanese legend of the forty-seven rōnin, blending samurai drama with supernatural elements.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53344033c8190a0883aef56ba79c3 completed April 19, 2026, 7:55 p.m.
Created at: April 10, 2026, 11:36 a.m.