Triple

T20212178
Position Surface form Disambiguated ID Type / Status
Subject Chris Packham E493515 entity
Predicate name P16 FINISHED
Object Chris Packham 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: Chris Packham | Statement: [Chris Packham, name, Chris Packham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Packham
Context triple: [Chris Packham, name, Chris Packham]
  • A. Chris Packham chosen
    Chris Packham is a British naturalist, television presenter, and author best known for his wildlife and conservation work on BBC nature programmes.
  • B. Matt Passmore
    Matt Passmore is an Australian actor best known for his leading role in the TV crime drama "The Glades" and for appearing in the "Jigsaw" installment of the Saw film franchise.
  • C. Steve Backshall
    Steve Backshall is a British naturalist, wildlife presenter, and author best known for hosting the BBC series "Deadly 60" and other adventure and nature documentaries.
  • D. Bob Irwin
    Bob Irwin is an Australian conservationist and wildlife expert best known as the father of Steve Irwin and the original founder of the Australia Zoo.
  • E. Adam Hart-Davis
    Adam Hart-Davis is a British scientist, author, photographer, and television presenter best known for popular science and history programs such as "Local Heroes" and "What the Romans Did for Us."
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ed627f48190a8ba638b85977af3 completed April 20, 2026, 6:22 p.m.
Created at: April 11, 2026, 11:38 p.m.