Triple

T21384338
Position Surface form Disambiguated ID Type / Status
Subject Jack Kehler E527450 entity
Predicate notableWork P4 FINISHED
Object Love Liza 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: Love Liza | Statement: [Jack Kehler, notableWork, Love Liza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love Liza
Context triple: [Jack Kehler, notableWork, Love Liza]
  • A. Love Liza chosen
    Love Liza is a 2002 independent drama film starring Philip Seymour Hoffman as a grieving widower spiraling into gasoline huffing after his wife's suicide.
  • B. Liza
    Liza is a feminine given name most famously associated with American actress and singer Liza Minnelli.
  • C. Liza
    Liza is a central tragic heroine in Alexander Pushkin’s short story "The Queen of Spades," whose ill-fated love and entanglement with gambling intrigue drive much of the plot.
  • D. Me and Liza
    "Me and Liza" is a song by singer-songwriter Rufus Wainwright, known as a tribute to Liza Minnelli reflecting on his relationship with her and her mother, Judy Garland.
  • E. Liza with a Z
    Liza with a Z is a 1972 television concert film and musical special starring Liza Minnelli, renowned for its dynamic song-and-dance performances and direction by Bob Fosse.
  • 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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0f211c08190b3a129eaa725422e completed April 22, 2026, 11:28 a.m.
Created at: April 16, 2026, 5:12 p.m.