Triple

T17888092
Position Surface form Disambiguated ID Type / Status
Subject Flashpoint E447245 entity
Predicate featuresCharacter P626 FINISHED
Object Captain Cold 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: Captain Cold | Statement: [Flashpoint, featuresCharacter, Captain Cold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Captain Cold
Context triple: [Flashpoint, featuresCharacter, Captain Cold]
  • A. Captain Cold chosen
    Captain Cold is a recurring DC Comics supervillain and leader of the Rogues, known for wielding a cold gun and frequently battling the Flash.
  • B. Dr. Freeze
    Dr. Freeze is a music producer best known for his work on R&B and pop hits, including collaborations with artists like Michael Jackson and Bell Biv DeVoe.
  • C. Artemis Crock
    Artemis Crock is a DC Comics character best known as a skilled teenage archer and member of the Young Justice team, often portrayed as the daughter of villains Sportsmaster and Tigress.
  • D. Mr. Freeze
    Mr. Freeze is a tragic Batman villain, a cryogenics expert whose body must be kept at subzero temperatures and who turns to cold-themed crime to save his terminally ill wife.
  • E. Mr. Freeze
    Mr. Freeze is a high-speed launched roller coaster themed after the Batman villain, known for its intense backward and forward runs through a twisted steel track.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49c14c4348190bb77712d9eae1d51 completed April 19, 2026, 9:10 a.m.
Created at: April 10, 2026, 10:18 a.m.