Triple

T11804908
Position Surface form Disambiguated ID Type / Status
Subject X-Men E280720 entity
Predicate member P10 FINISHED
Object Nightcrawler E508699 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: Nightcrawler | Statement: [X-Men, member, Nightcrawler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nightcrawler
Context triple: [X-Men, member, Nightcrawler]
  • A. Nightcrawler
    Nightcrawler is a 2014 neo-noir thriller film starring Jake Gyllenhaal as an amoral crime videographer prowling Los Angeles for sensational footage.
  • B. Nightcrawler chosen
    Nightcrawler is a blue-skinned, teleporting mutant superhero from Marvel's X-Men, known for his acrobatic skills, prehensile tail, and strong Catholic faith.
  • C. Bad Lieutenant
    Bad Lieutenant is a 1992 neo-noir crime drama film directed by Abel Ferrara, known for its gritty portrayal of a corrupt, self-destructive New York City police officer.
  • D. Il Malo
    Il Malo is the Italian nickname meaning "the Bad" given to William I of Sicily, a 12th-century Norman king known for his unpopular rule and internal strife in the kingdom.
  • E. San Sicario
    San Sicario is an Italian alpine village and ski resort in the Susa Valley, known for its winter sports facilities and role as a venue during the 2006 Turin Winter Olympics.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5c8324481909a54852a9bb714e0 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1315b4b1481908106984a1362be89 completed April 28, 2026, 10:14 p.m.
Created at: April 8, 2026, 9:42 p.m.