Triple

T9414376
Position Surface form Disambiguated ID Type / Status
Subject Rudy Law E226977 entity
Predicate sibling P363 FINISHED
Object Rafferty Law E104147 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: Rafferty Law | Statement: [Rudy Law, sibling, Rafferty Law]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rafferty Law
Context triple: [Rudy Law, sibling, Rafferty Law]
  • A. Rafferty Law chosen
    Rafferty Law is a British model and actor, best known as the son of actors Jude Law and Sadie Frost.
  • B. R. Rex Parris Law Firm
    R. Rex Parris Law Firm is a plaintiffs’ litigation firm known for high-profile personal injury, environmental, and consumer protection cases, particularly in California.
  • C. The Cochran Firm
    The Cochran Firm is a prominent American law firm known for civil rights, personal injury, and criminal defense work, originally established by famed attorney Johnnie Cochran.
  • D. Greenlaw
    Greenlaw is a small historic town in the Scottish Borders that once served as the county town of Berwickshire.
  • E. Cobb, Fendley & Associates
    Cobb, Fendley & Associates is an architecture and engineering firm known for providing design and technical services on major civic and cultural projects.
  • 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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd68c7bd648190b17f082883c98239 completed April 1, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107b63cf48190a072e3434a7b85a8 completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:47 p.m.