Triple

T18995587
Position Surface form Disambiguated ID Type / Status
Subject John Gilling E464799 entity
Predicate workedOn P3 FINISHED
Object The Challenge 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: The Challenge | Statement: [John Gilling, workedOn, The Challenge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Challenge
Context triple: [John Gilling, workedOn, The Challenge]
  • A. The Challenge
    The Challenge is a long-running MTV reality competition series where contestants face intense physical and mental challenges for cash prizes.
  • B. The Challenge chosen
    The Challenge is a 1960 British crime thriller film directed by John Gilling, known for its gritty depiction of London’s criminal underworld.
  • C. Challenges
    "Challenges" is a reggae album by Jamaican singer Tarrus Riley that helped establish his reputation for soulful vocals and conscious, roots-influenced songwriting.
  • D. Challenge
    Challenge is a small unincorporated community in Yuba County, California, known for its rural setting in the Sierra Nevada foothills.
  • E. The Hardest Challenge
    "The Hardest Challenge" is an episode of the reality competition series "The Hunt," likely featuring one of the show's most demanding and high-stakes survival tasks for its contestants.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6819f8c81908bbf0448baf7e34b completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:01 p.m.