Triple

T21044686
Position Surface form Disambiguated ID Type / Status
Subject X-Men: The Animated Series E518417 entity
Predicate mainCharacter P1183 FINISHED
Object Rogue 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: Rogue | Statement: [X-Men: The Animated Series, mainCharacter, Rogue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rogue
Context triple: [X-Men: The Animated Series, mainCharacter, Rogue]
  • A. Rogue chosen
    Rogue is a popular Marvel Comics superhero and member of the X-Men known for her ability to absorb others’ powers and memories through touch.
  • B. Rogue
    Rogue is a Hearthstone class focused on stealth, combo-based gameplay, and efficient removal using daggers, spells, and sneaky minions.
  • C. Rogue
    Rogue is a 2007 Australian horror thriller film about tourists trapped by a giant man-eating crocodile in a remote Northern Territory river.
  • D. Rogues
    Rogues is a recurring team of supervillains in DC Comics, primarily known as a collective of The Flash’s most iconic adversaries.
  • E. Gambit
    Gambit is a 1966 comedic heist film starring Michael Caine and Shirley MacLaine, noted for its clever plot structure and stylish caper 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcf2fc4881909b9e3400864e6b82 completed April 21, 2026, 4:28 a.m.
Created at: April 16, 2026, 2:24 p.m.