Triple

T18416159
Position Surface form Disambiguated ID Type / Status
Subject Caitlin E441895 entity
Predicate familyName P18 FINISHED
Object Caine 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: Caine | Statement: [Caitlin, familyName, Caine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caine
Context triple: [Caitlin, familyName, Caine]
  • A. Caine chosen
    Caine is a surname most notably associated with Paul Waymond Caine, one of the founders of the Kappa Alpha Psi fraternity.
  • B. Caine Wise
    Caine Wise is a genetically engineered ex-military hunter and protector who serves as the primary hero in the science-fiction film "Jupiter Ascending."
  • C. David Cain
    David Cain is a deadly DC Comics assassin and mercenary best known as the abusive father and trainer of Batgirl Cassandra Cain.
  • D. Mal Cobb
    Mal Cobb is a central character in the film "Inception," known as Dom Cobb's deceased wife whose haunting presence blurs the line between reality and dream in his subconscious.
  • E. Michael Cage
    Michael Cage is a former American professional basketball player and dominant rebounder who starred in college before enjoying a long NBA career primarily in the 1980s and 1990s.
  • 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51a284b608190b77c360a72aceb7a completed April 19, 2026, 6:08 p.m.
Created at: April 10, 2026, 10:47 a.m.