Triple

T7839183
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Ross E181760 entity
Predicate name P16 FINISHED
Object Jonathan Ross E181760 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: [Jonathan Ross, name, Jonathan Ross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Ross
Context triple: [Jonathan Ross, name, Jonathan Ross]
  • A. Jonathan Ross chosen
    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. 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.
  • C. Daniel Ross
    Daniel Ross is an American voice actor best known for portraying iconic animated characters, including voicing Donald Duck in various Disney productions.
  • D. Christian Ross
    Christian Ross was the wife of Scottish poet Allan Ramsay, known primarily through her connection to the influential 18th-century literary figure.
  • E. Steve Ross
    Steve Ross was an American businessman best known for building Warner Communications into a media powerhouse and serving as a key architect of what became Time Warner.
  • 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_69ca8284a25c8190a1a20afad30da792 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb14c4680481908628d22bbe4842f4 completed March 31, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5abff2a88190a2f988b8b041ebb0 completed March 31, 2026, 5:25 a.m.
Created at: March 30, 2026, 4:47 p.m.