Triple

T4666945
Position Surface form Disambiguated ID Type / Status
Subject Changeling E102867 entity
Predicate mainCharacter P1183 FINISHED
Object Christine Collins E196407 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: Christine Collins | Statement: [Changeling, mainCharacter, Christine Collins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christine Collins
Context triple: [Changeling, mainCharacter, Christine Collins]
  • A. Christine Collins chosen
    Christine Collins was a real-life Los Angeles mother whose 1928 fight against police corruption and search for her missing son became the basis for the film "Changeling."
  • B. Cynthia Murphy
    Cynthia Murphy is a central maternal character in the musical "Dear Evan Hansen," known as the caring but emotionally strained mother of Connor and Zoe Murphy.
  • C. Elaine Ryan
    Elaine Ryan was a screenwriter best known for her work on classic Hollywood films such as "Babes on Broadway."
  • D. Bridget Moynahan
    Bridget Moynahan is an American actress and model best known for her roles in films like "Coyote Ugly" and "I, Robot" and the TV series "Blue Bloods."
  • E. Connie Murphy
    Connie Murphy is the wife of retired DEA agent Steve Murphy, known for his role in the pursuit of Colombian drug lord Pablo Escobar.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd633d87788190a3c8946ed6995062 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be104a596c8190903c208c892da186 completed March 21, 2026, 3:28 a.m.
Created at: March 20, 2026, 1:15 p.m.