Triple

T8452737
Position Surface form Disambiguated ID Type / Status
Subject Steve Backshall E199839 entity
Predicate hasPresented P61190 FINISHED
Object Deadly 60 E734941 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: Deadly 60 | Statement: [Steve Backshall, hasPresented, Deadly 60]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deadly 60
Context triple: [Steve Backshall, hasPresented, Deadly 60]
  • A. Deadly 60 chosen
    Deadly 60 is a British wildlife television series in which presenter Steve Backshall travels the world to find and showcase some of the planet’s most dangerous animals.
  • B. Deadly 360
    Deadly 360 is a wildlife television series presented by Steve Backshall that uses dramatic reconstructions and expert analysis to explore the hunting strategies and survival tactics of dangerous animals.
  • C. Deadly Cross
    Deadly Cross is a crime thriller novel in James Patterson’s long-running Alex Cross series, following the detective as he investigates a high-profile double murder in Washington, D.C.
  • D. Deadly Impact
    Deadly Impact is a 2009 action-thriller film about an FBI agent confronting a ruthless terrorist, directed by special effects veteran Robert Kurtzman.
  • E. 1000 Ways to Die
    1000 Ways to Die is a darkly comedic documentary-style television series that dramatizes unusual and often bizarre real-life deaths.
  • 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe449decc8190bd62f077427f9634 completed March 31, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39c11a488190b7775002e419eee7 completed April 2, 2026, 9:41 a.m.
Created at: March 30, 2026, 6:09 p.m.