Triple

T18819706
Position Surface form Disambiguated ID Type / Status
Subject Rafferty Law E460230 entity
Predicate relative P37 FINISHED
Object Peter Law NE NERFINISHED

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: Peter Law | Statement: [Rafferty Law, relative, Peter Law]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Law
Context triple: [Rafferty Law, relative, Peter Law]
  • A. Peter Law chosen
    Peter Law is a member of the Law family, known primarily as a relative of British model and actor Rafferty Law.
  • B. Peter FitzSimons
    Peter FitzSimons is an Australian author, journalist, and former rugby union player known for his popular historical non-fiction books and long-running newspaper columns.
  • C. Peter Riche
    Peter Riche is a film producer best known for his work on the romantic comedy movie "Bride Wars."
  • D. Andrew Laws
    Andrew Laws is a film and television production designer and art director known for his work on stylized, visually distinctive projects such as the romantic comedy "Down with Love."
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6b8b7d88190a8828746176776ea completed April 20, 2026, 4:08 a.m.
Created at: April 10, 2026, 11:55 a.m.