Triple

T20080702
Position Surface form Disambiguated ID Type / Status
Subject Snake Eyes E499990 entity
Predicate characterFocus P31 FINISHED
Object Snake Eyes 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: Snake Eyes | Statement: [Snake Eyes, characterFocus, Snake Eyes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snake Eyes
Context triple: [Snake Eyes, characterFocus, Snake Eyes]
  • A. Snake Eyes chosen
    Snake Eyes is a 2021 action film in the G.I. Joe franchise that serves as an origin story for the titular ninja commando.
  • B. Snake Eyes
    Snake Eyes is a 1998 mystery-thriller film directed by Brian De Palma and starring Nicolas Cage, centered on a conspiracy unfolding during a high-profile boxing match in Atlantic City.
  • C. Corvo Attano
    Corvo Attano is the silent, masked royal protector-turned-assassin and primary playable protagonist of the Dishonored video game series.
  • D. Cobra
    Cobra is a fictional terrorist organization and the primary antagonist faction in the G.I. Joe franchise.
  • E. Cobra
    Cobra is a 1986 American action thriller film starring Sylvester Stallone as a tough, rule-breaking cop battling a violent crime cult.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66557c19c8190b511857490bbd423 completed April 20, 2026, 5:41 p.m.
Created at: April 11, 2026, 3:41 p.m.