Triple

T14891815
Position Surface form Disambiguated ID Type / Status
Subject Jimmy Porter E359769 entity
Predicate friend P8712 FINISHED
Object Cliff Lewis E362904 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: Cliff Lewis | Statement: [Jimmy Porter, friend, Cliff Lewis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cliff Lewis
Context triple: [Jimmy Porter, friend, Cliff Lewis]
  • A. Cliff Lewis chosen
    Cliff Lewis is a central character in John Osborne's play "Look Back in Anger," serving as the loyal and easygoing friend and flatmate of the volatile protagonist Jimmy Porter.
  • B. David Leahy
    David Leahy is a notable individual recognized for achievements significant enough to be associated with the surname Leahy.
  • C. John Leighton
    John Leighton was a prominent 19th-century British artist and book cover designer known for his influential contributions to Victorian decorative arts and illustration.
  • D. Cam Clarke
    Cam Clarke is an American voice actor known for his work in animation and video games, including prominent roles in series like Teenage Mutant Ninja Turtles and various Disney productions.
  • E. Roy Kinnear
    Roy Kinnear was a British character actor known for his comic roles in film and television, including notable performances in movies like "Willy Wonka & the Chocolate Factory" and various Richard Lester films.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded5f883288190af602633fa7d6860 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b65ac5c81908691de1161d07de0 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 2:10 a.m.