Triple

T18289748
Position Surface form Disambiguated ID Type / Status
Subject The Man Who Came Back (1924 film) E438079 entity
Predicate stars P1956 FINISHED
Object Lydia Yeamans Titus 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: Lydia Yeamans Titus | Statement: [The Man Who Came Back (1924 film), stars, Lydia Yeamans Titus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lydia Yeamans Titus
Context triple: [The Man Who Came Back (1924 film), stars, Lydia Yeamans Titus]
  • A. Lydia Yeamans Titus chosen
    Lydia Yeamans Titus was an early 20th-century American stage and film actress known for her character roles in silent-era productions.
  • B. Lydia Hurlbut
    Lydia Hurlbut is an American entrepreneur and co-founder/CEO of the Hurlbut Academy, an educational platform for filmmakers that she runs with her husband, cinematographer Shane Hurlbut.
  • C. Lydia Woodward
    Lydia Woodward is an American television writer and producer best known for her work on the acclaimed medical drama series "ER."
  • D. Lydia Adams
    Lydia Adams is a central character in the television crime drama "Southland," portrayed as a dedicated and tough Los Angeles police detective.
  • E. Lydia Wilson
    Lydia Wilson is a British actress known for her work in film, television, and theatre, including roles in projects like "About Time" and the BBC drama "Ripper Street."
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e500fd65888190afdbb29dc60066af completed April 19, 2026, 4:21 p.m.
Created at: April 10, 2026, 10:35 a.m.