Triple

T10457482
Position Surface form Disambiguated ID Type / Status
Subject Love Liza E246583 entity
Predicate director P255 FINISHED
Object Todd Louiso E323612 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: Todd Louiso | Statement: [Love Liza, director, Todd Louiso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Todd Louiso
Context triple: [Love Liza, director, Todd Louiso]
  • A. Todd Louiso chosen
    Todd Louiso is an American actor and filmmaker best known for his supporting role in "High Fidelity" and for directing and co-writing the indie film "Love Liza."
  • B. Eric Wareheim
    Eric Wareheim is an American comedian, actor, writer, director, and one half of the surreal comedy duo Tim & Eric, known for their offbeat television series and experimental humor.
  • C. Andrew Loog Oldham
    Andrew Loog Oldham is a British record producer and former manager best known for shaping the early career and sound of The Rolling Stones in the 1960s.
  • D. Jorma Taccone
    Jorma Taccone is an American writer, director, actor, and comedian best known as a member of the comedy trio The Lonely Island and for his work on Saturday Night Live.
  • E. Jeremy Sisto
    Jeremy Sisto is an American actor known for his roles in film and television, including prominent parts in projects like the teen comedy "Clueless" and the crime drama series "Law & Order."
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe4a56e08190ab56d762d6a91b01 completed April 7, 2026, 12:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87f182cb481909f838d6d1dfa7e79 completed April 10, 2026, 4:39 a.m.
Created at: April 6, 2026, 12:18 p.m.