Triple

T3321521
Position Surface form Disambiguated ID Type / Status
Subject Force 10 from Navarone E69804 entity
Predicate artDirector P7743 FINISHED
Object Terence Marsh E329585 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: Terence Marsh | Statement: [Force 10 from Navarone, artDirector, Terence Marsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terence Marsh
Context triple: [Force 10 from Navarone, artDirector, Terence Marsh]
  • A. Terence Marsh chosen
    Terence Marsh was a British production designer and art director renowned for his work on major films from the 1960s through the 1990s, earning multiple Academy Awards for his contributions.
  • B. Geoffrey Simpson
    Geoffrey Simpson is an Australian cinematographer known for his work on feature films including the 1994 adaptation of "Little Women."
  • C. Ronald Villency
    Ronald Villency is the son of American television news personality and political commentator Kimberly Guilfoyle.
  • D. Ronald Villency
    Ronald Villency is an American businessman known as the father of interior designer and media personality Eric Villency.
  • E. George Hanson
    George Hanson is a boozy, idealistic small-town lawyer who becomes an unlikely companion to the bikers in the counterculture road movie "Easy Rider."
  • 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_69ad85a1829881908942c14075644d0d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb13b85208190b13aba355d5dafcf completed March 8, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a7954248190b0c7b5d6ab3c6687 completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:11 p.m.