Triple

T18270220
Position Surface form Disambiguated ID Type / Status
Subject Turning Point E437587 entity
Predicate hasTitle P38 FINISHED
Object 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: Turning Point | Statement: [Turning Point, hasTitle, Turning Point]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turning Point
Context triple: [Turning Point, hasTitle, Turning Point]
  • A. Turning Point
    "Turning Point" is a notable work associated with the Mario franchise, likely referring to a specific game, level, or narrative milestone recognized by fans or creators.
  • B. Turning Point
    Turning Point is a recurring professional wrestling pay-per-view and special event produced by Impact Wrestling (formerly TNA), known for featuring major storyline developments and title matches.
  • C. Turning Point
    "Turning Point" is a popular Nigerian Afropop song by Dr SID that helped solidify his presence in the contemporary African music scene.
  • D. Turning Point chosen
    Turning Point is an album by the R&B singer Mario, known for featuring the hit single "Let Me Love You."
  • E. The Turning Point
    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.
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff7d4f88819084123ed6c9e7e5b8 completed April 19, 2026, 4:14 p.m.
Created at: April 10, 2026, 10:34 a.m.