Triple

T4626263
Position Surface form Disambiguated ID Type / Status
Subject The Jacket E101103 entity
Predicate cinematographyBy P1953 FINISHED
Object Peter Deming E289012 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: Peter Deming | Statement: [The Jacket, cinematographyBy, Peter Deming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Deming
Context triple: [The Jacket, cinematographyBy, Peter Deming]
  • A. Peter Deming chosen
    Peter Deming is an American cinematographer known for his work on visually distinctive films and television series, including several collaborations with directors like David Lynch and Sam Raimi.
  • B. James McDermott
    James McDermott is a character in Margaret Atwood’s novel *Alias Grace*, depicted as a fellow servant whose murder becomes central to the story’s infamous crime.
  • C. Andrew Meyer
    Andrew Meyer is a fictional character in the television series "Veep," known as the ex-husband of main character Selina Meyer and the father of her daughter Catherine.
  • D. Peter Veeder
    Peter Veeder was an individual significant enough in regional history or exploration to have Mount Veeder named in his honor.
  • E. Robert McDermott
    Robert McDermott is a personal name shared by multiple individuals, including professionals and public figures in various fields.
  • 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_69bd43d0497c8190ac23c65c5804846a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a0a7b588190bc6552ee5babb198 completed March 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef7e252c88190be9796ab9bf174c8 completed March 21, 2026, 7:56 p.m.
Created at: March 20, 2026, 1:13 p.m.