Triple

T9976854
Position Surface form Disambiguated ID Type / Status
Subject BAFTA Award for Best Entertainment Performance E196352 entity
Predicate notableWinner P2766 FINISHED
Object Jonathan Ross E701923 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 Ross | Statement: [BAFTA Award for Best Entertainment Performance, notableWinner, Jonathan Ross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Ross
Context triple: [BAFTA Award for Best Entertainment Performance, notableWinner, Jonathan Ross]
  • A. Jonathan Ross
    Jonathan Ross is a British television and radio presenter best known for hosting long-running chat shows such as "Friday Night with Jonathan Ross."
  • B. Jonathan Stephen Ross chosen
    Jonathan Stephen Ross is a British television and radio presenter best known for hosting long-running chat shows such as "Friday Night with Jonathan Ross."
  • C. Scott Ross
    Scott Ross is a musician best known as a member of the early 1990s hip hop group Marky Mark and the Funky Bunch.
  • D. Daniel Ross
    Daniel Ross is an American voice actor best known for portraying iconic animated characters, including voicing Donald Duck in various Disney productions.
  • E. Daniel Ross
    Daniel Ross is the son of John Ross, likely known primarily in relation to his father.
  • 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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb84d0d3c8190b268582bb79c8973 completed April 2, 2026, 12:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23de601f0819096004bf60ffa2d2c completed April 5, 2026, 10:48 a.m.
Created at: March 30, 2026, 8:48 p.m.