Triple

T10674818
Position Surface form Disambiguated ID Type / Status
Subject A Place to Stand E251587 entity
Predicate editingBy P1954 FINISHED
Object Christopher Chapman E881475 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: Christopher Chapman | Statement: [A Place to Stand, editingBy, Christopher Chapman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christopher Chapman
Context triple: [A Place to Stand, editingBy, Christopher Chapman]
  • A. Christopher Chapman chosen
    Christopher Chapman was a Canadian filmmaker and innovator in cinematic techniques, best known for his influential multi-image work in the Oscar-winning short film "A Place to Stand."
  • B. Peter Chapman
    Peter Chapman is a writer and journalist known for his historical and political analyses of global corporations and their impact, including his work on the United Fruit Company.
  • C. John Cheshire
    John Cheshire is a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of RAF Fighter Command.
  • D. Christopher Gunning
    Christopher Gunning was a British composer best known for his film and television scores, including the iconic theme for the detective series "Poirot."
  • E. Sean Chapman
    Sean Chapman is a British actor best known for his roles in gritty dramas and horror films, including a prominent part in the cult classic "Hellraiser."
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fb935ca88190b1312d3d53902af5 completed April 9, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69de225f57948190aaf2954bce91f752 completed April 14, 2026, 11:17 a.m.
Created at: April 8, 2026, 9:09 p.m.