Triple

T8476109
Position Surface form Disambiguated ID Type / Status
Subject Hugh Hudson E200397 entity
Predicate name P16 FINISHED
Object Hugh Hudson E200397 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: Hugh Hudson | Statement: [Hugh Hudson, name, Hugh Hudson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugh Hudson
Context triple: [Hugh Hudson, name, Hugh Hudson]
  • A. Hugh Hudson chosen
    Hugh Hudson was a British film director best known for his Academy Award–winning 1981 sports drama "Chariots of Fire."
  • B. John Guillermin
    John Guillermin was a British film director known for his work on large-scale adventure and disaster films, including the 1976 remake of King Kong and The Towering Inferno.
  • C. Robert Mulligan
    Robert Mulligan was an American film director best known for his sensitive, character-driven dramas, including the acclaimed adaptation of Harper Lee’s "To Kill a Mockingbird."
  • D. Clive Donner
    Clive Donner was a British film director known for his work in 1960s cinema, including influential comedies and literary adaptations.
  • E. J. Lee Thompson
    J. Lee Thompson was a British film director known for a wide range of popular movies, including war epics, thrillers, and collaborations with major Hollywood stars.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe51e21548190811e3c7ba7b196e5 completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4de1fae48190a1149f639faca147 completed April 2, 2026, 11:07 a.m.
Created at: March 30, 2026, 6:12 p.m.