Triple

T14064743
Position Surface form Disambiguated ID Type / Status
Subject William H. Reynolds E338436 entity
Predicate workedOn P3 FINISHED
Object The Turning Point E226035 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: The Turning Point | Statement: [William H. Reynolds, workedOn, The Turning Point]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Turning Point
Context triple: [William H. Reynolds, workedOn, The Turning Point]
  • A. The Turning Point
    The Turning Point is a notable work by James Mitchell, likely recognized as one of his significant literary or creative contributions.
  • 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 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.
  • D. The Turn
    "The Turn" is a song by the artist Kala.
  • E. Der Wendepunkt
    Der Wendepunkt is the autobiographical memoir of German writer Klaus Mann, in which he reflects on his life, political exile, and the cultural upheavals of the early 20th century.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5689c7f48190a47ca94eaa8a9ef9 completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd09db51c8190ab275e68b1aec120 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:21 p.m.