Triple

T17874188
Position Surface form Disambiguated ID Type / Status
Subject The Englishman Who Went Up a Hill But Came Down a Mountain E446908 entity
Predicate editedBy P1954 FINISHED
Object David Martin NE NERFINISHED

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: David Martin | Statement: [The Englishman Who Went Up a Hill But Came Down a Mountain, editedBy, David Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Martin
Context triple: [The Englishman Who Went Up a Hill But Came Down a Mountain, editedBy, David Martin]
  • A. David Martin chosen
    David Martin is a film editor best known for his work on the 1986 biographical drama "Sid and Nancy."
  • B. Dave Martin
    Dave Martin was a British television writer best known for his work on the science fiction series Doctor Who, often collaborating with Bob Baker.
  • C. Sam Martin
    Sam Martin is an American singer and songwriter best known for his vocal features on electronic dance music tracks and collaborations with prominent DJs.
  • D. Michael Boughen
    Michael Boughen is a film producer known for his work on action and thriller movies, including the Jason Statham–starring film "Killer Elite."
  • E. Gerald Martin
    Gerald Martin is a person known primarily in relation to Andrew Martin, likely as a family member or close associate.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa4959881908774dafb7be99191 completed April 19, 2026, 9:04 a.m.
Created at: April 10, 2026, 10:18 a.m.