Triple

T11338722
Position Surface form Disambiguated ID Type / Status
Subject Quentin Jacobsen E268539 entity
Predicate drivesPlot P2762 FINISHED
Object search for Margo Roth Spiegelman E268540 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: search for Margo Roth Spiegelman | Statement: [Quentin Jacobsen, drivesPlot, search for Margo Roth Spiegelman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: search for Margo Roth Spiegelman
Context triple: [Quentin Jacobsen, drivesPlot, search for Margo Roth Spiegelman]
  • A. Margo Roth Spiegelman chosen
    Margo Roth Spiegelman is a mysterious, adventurous teenage girl whose disappearance drives the plot and emotional journey of John Green’s novel "Paper Towns."
  • B. Frances Spiegelberg
    Frances Spiegelberg was the wife of legendary violinist Jascha Heifetz.
  • C. Margaret Shenberg
    Margaret Shenberg was the first wife of influential Hollywood film producer and studio executive Louis B. Mayer.
  • D. Sol Spiegelman
    Sol Spiegelman was an American molecular biologist renowned for his pioneering work on nucleic acid hybridization and the molecular mechanisms of viral replication.
  • E. Harvey Pekar in American Splendor
    Harvey Pekar in American Splendor is the neurotic, blue-collar file clerk and underground comic book writer whose everyday struggles and observations form the basis of the film’s offbeat, autobiographical narrative.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea008b5081908e6c6c6fc29ef936 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5433d3e848190ad4f51c23d5a8bb2 completed April 19, 2026, 9:03 p.m.
Created at: April 8, 2026, 9:33 p.m.