Triple

T11992598
Position Surface form Disambiguated ID Type / Status
Subject Tye Sheridan E285444 entity
Predicate playedCharacter P1507 FINISHED
Object Cyclops E128859 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: Cyclops | Statement: [Tye Sheridan, playedCharacter, Cyclops]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cyclops
Context triple: [Tye Sheridan, playedCharacter, Cyclops]
  • A. Cyclops chosen
    Cyclops is a Marvel Comics superhero, a founding member of the X-Men known for his powerful optic blasts and leadership of the team.
  • B. Cyclopes
    The Cyclopes are one-eyed giants from Greek mythology renowned as master craftsmen who forged Zeus’s thunderbolts and other divine weapons.
  • C. Juggernaut
    Juggernaut is a powerful Marvel Comics supervillain known for his immense strength and near-unstoppable momentum, often depicted as an adversary of the X-Men.
  • D. Voltore
    Voltore is a corrupt lawyer in Ben Jonson’s satirical play "Volpone," known for his greed and willingness to deceive in hopes of inheriting the protagonist’s fortune.
  • E. Dr. Cyclops
    Dr. Cyclops is a 1940 science fiction horror film best known for its pioneering use of Technicolor and its story of a mad scientist who shrinks his victims in the Peruvian jungle.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903b11ac481909866b611380792e7 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4726696dc8190bf2a7aa43cb08b19 completed May 1, 2026, 9:29 a.m.
Created at: April 8, 2026, 9:46 p.m.