Triple

T3664528
Position Surface form Disambiguated ID Type / Status
Subject The Red Lily (1924 film) E77728 entity
Predicate starredActor P5563 FINISHED
Object Harry Myers E166151 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: Harry Myers | Statement: [The Red Lily (1924 film), starredActor, Harry Myers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Myers
Context triple: [The Red Lily (1924 film), starredActor, Harry Myers]
  • A. Harry Myers chosen
    Harry Myers was an American actor and director best remembered for his role as the eccentric millionaire in Charlie Chaplin’s classic silent film "City Lights."
  • B. Michael Myerberg
    Michael Myerberg was an American theatrical producer and manager best known for his influential work on mid-20th-century Broadway productions.
  • C. Anthony Meyer
    Anthony Meyer is a British politician and former Conservative Member of Parliament best known for mounting a symbolic leadership challenge against Prime Minister Margaret Thatcher in 1989.
  • D. Luke Murray
    Luke Murray is an American basketball coach known for his assistant coaching roles at several major college programs and as the son of actor Bill Murray.
  • E. Nat Mauldin
    Nat Mauldin is an American screenwriter and television writer known for his work on family-oriented films and popular TV comedies.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3fe5eb08190ab15044acf9ac8a9 completed March 8, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48848be788190acde46880918d36b completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:25 p.m.