Triple

T20524136
Position Surface form Disambiguated ID Type / Status
Subject Emma Jacklin E503889 entity
Predicate appearsIn P795 FINISHED
Object The Turning Point 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: The Turning Point | Statement: [Emma Jacklin, appearsIn, The Turning Point]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Turning Point
Context triple: [Emma Jacklin, appearsIn, The Turning Point]
  • A. The Turning Point
    The Turning Point is a 1952 American film noir crime drama, written by Warren Duff, that centers on a prosecutor’s battle to expose corruption in a city’s political machine.
  • B. The Turning Point chosen
    The Turning Point is a 1977 American drama film about the world of professional ballet, noted for its performances by Shirley MacLaine, Anne Bancroft, and Mikhail Baryshnikov.
  • C. The Turning Point
    The Turning Point is a notable work by James Mitchell, likely recognized as one of his significant literary or creative contributions.
  • D. The Turning Point
    "The Turning Point" is a jazz track featured on Nina Simone's 1967 album "Silk & Soul."
  • E. The Turn
    The Turn is a track from M.I.A.'s debut album "Arular," showcasing her distinctive blend of electronic, hip hop, and global dance influences.
  • 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_69e0b4b3a6e08190ae663701f50fab8e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69f48691c8190af0ac959e92e10d9 completed April 20, 2026, 9:48 p.m.
Created at: April 16, 2026, 11:36 a.m.