Triple

T12333508
Position Surface form Disambiguated ID Type / Status
Subject Blow Dry E294021 entity
Predicate editedBy P1954 FINISHED
Object Tony Lawson E147713 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: Tony Lawson | Statement: [Blow Dry, editedBy, Tony Lawson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Lawson
Context triple: [Blow Dry, editedBy, Tony Lawson]
  • A. Tony Lawson chosen
    Tony Lawson is a film editor known for his work on major motion pictures, including the drama "The Brave One."
  • B. Andrew Lawson
    Andrew Lawson was a pioneering early 20th-century geologist best known for his foundational work on California’s geology and seismic activity, including identifying the San Andreas Fault.
  • C. Bill Lawson
    Bill Lawson was a boxing judge known for officiating the historic heavyweight title bout between Muhammad Ali and Sonny Liston.
  • D. Ken Lawson
    Ken Lawson is an American actor and rapper best known for his role as Thaddeus "T" Radcliffe on the UPN sitcom "The Parkers."
  • E. Ian Ayres
    Ian Ayres is an American lawyer, economist, and Yale Law School professor known for his work on law and economics, behavioral economics, and discrimination.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f64ad20819080d99e57833b4b51 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aa367348190b3991f256586a331 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:53 p.m.