Triple

T21090148
Position Surface form Disambiguated ID Type / Status
Subject Chilwell and Attenborough E519613 entity
Predicate contains P35 FINISHED
Object Attenborough 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: Attenborough | Statement: [Chilwell and Attenborough, contains, Attenborough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Attenborough
Context triple: [Chilwell and Attenborough, contains, Attenborough]
  • A. Attenborough
    Attenborough is a notable English surname most famously associated with the filmmaker and natural historian brothers Richard and David Attenborough.
  • B. Attenborough chosen
    Attenborough is a village in Nottinghamshire, England, known for its nature reserve and proximity to the River Trent.
  • C. Will Attenborough
    Will Attenborough is a British actor known for his work in film, television, and theatre, including a role in the war drama "The Outpost."
  • D. David Attenborough
    David Attenborough is a renowned British broadcaster and natural historian best known for his influential nature documentaries and contributions to public understanding of the natural world.
  • E. Terence Marsh
    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.
  • 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_69e0b507dd9081908fb8bfcbef4c8b46 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7094dd65481909391ed74115afc23 completed April 21, 2026, 5:21 a.m.
Created at: April 16, 2026, 2:50 p.m.