Triple

T11473492
Position Surface form Disambiguated ID Type / Status
Subject Brother vs. Brother E271967 entity
Predicate features P997 FINISHED
Object Jonathan Scott E928424 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: Jonathan Scott | Statement: [Brother vs. Brother, features, Jonathan Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Scott
Context triple: [Brother vs. Brother, features, Jonathan Scott]
  • A. Jonathan Scott
    Jonathan Scott is a wildlife photographer and television presenter best known for his work on BBC nature documentaries, particularly those focusing on big cats in Africa.
  • B. Jonathan Scott chosen
    Jonathan Scott is a Canadian television personality and licensed contractor best known as one half of the twin duo on the home renovation series "Property Brothers."
  • C. Ed Scott
    Ed Scott is a technology entrepreneur best known as a co-founder of BEA Systems, a major enterprise software company later acquired by Oracle.
  • D. Gavin Scott
    Gavin Scott is a British screenwriter and producer known for his work on fantasy and historical adaptations for film and television.
  • E. Kevin Matheson
    Kevin Matheson is a fictional character portrayed by British actor Russell Tovey, best known from the television series "Looking."
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294b3f388190a587c358313f7260 completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69ee866bb71c819091573965f7cf0dee completed April 26, 2026, 9:40 p.m.
Created at: April 8, 2026, 9:35 p.m.