Triple

T4921954
Position Surface form Disambiguated ID Type / Status
Subject Tin Cup E110485 entity
Predicate editedBy P1954 FINISHED
Object Paul Seydor E219933 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: Paul Seydor | Statement: [Tin Cup, editedBy, Paul Seydor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Seydor
Context triple: [Tin Cup, editedBy, Paul Seydor]
  • A. Paul Seydor chosen
    Paul Seydor is a film editor and scholar best known for his work on Sam Peckinpah’s films and his writings on American cinema.
  • B. George Weil
    George Weil was a physicist who worked on the Manhattan Project and is noted for being the operator who withdrew the control rod to initiate the first self-sustaining nuclear chain reaction in Chicago Pile-1.
  • C. Ben Seresin
    Ben Seresin is a New Zealand-born cinematographer known for his work on large-scale action and blockbuster films such as Godzilla vs. Kong, World War Z, and Transformers: Revenge of the Fallen.
  • D. Jules Schermer
    Jules Schermer was a film producer active in mid-20th-century American cinema.
  • E. Robert Dorer
    Robert Dorer was a sculptor best known for creating the National Monument of Geneva in Switzerland.
  • 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ffc2ab08190992db2400562bcee completed March 20, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77a41ca08190a8fbfa405b15d68c completed March 21, 2026, 10:49 a.m.
Created at: March 20, 2026, 1:30 p.m.