Triple

T20352615
Position Surface form Disambiguated ID Type / Status
Subject Al Giardello E496052 entity
Predicate worksWith P398 FINISHED
Object Tim Bayliss 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: Tim Bayliss | Statement: [Al Giardello, worksWith, Tim Bayliss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tim Bayliss
Context triple: [Al Giardello, worksWith, Tim Bayliss]
  • A. Tim Bayliss chosen
    Tim Bayliss is a central detective character on the television series "Homicide: Life on the Street," known for his complex personality and evolving moral and personal struggles.
  • B. Jim Bayliss
    Jim Bayliss is a character in Arthur Miller's play "All My Sons," a local doctor and neighbor whose disillusionment and moral conflict highlight the play’s themes of responsibility and compromise.
  • C. Josh Bayliss
    Josh Bayliss is a British business executive best known as the CEO of the Virgin Group, overseeing the conglomerate’s global strategy and operations.
  • D. Adrian Biddle
    Adrian Biddle was a British cinematographer known for his visually striking work on films such as "Aliens," "Thelma & Louise," and "The Mummy."
  • E. Andrew Bennison
    Andrew Bennison was an American screenwriter active during the early sound era of Hollywood cinema.
  • 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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67850ace48190b19aff5780fef7e8 completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:25 a.m.