Triple

T19476602
Position Surface form Disambiguated ID Type / Status
Subject Rhea Law E487260 entity
Predicate familyName P18 FINISHED
Object 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: Law | Statement: [Rhea Law, familyName, Law]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Law
Context triple: [Rhea Law, familyName, Law]
  • A. Law
    Law is the system of rules and principles recognized by a community or government as regulating the actions of its members and enforceable by legal institutions.
  • B. Law chosen
    Law is a common English-language surname borne by various notable individuals, including political figures such as former British Prime Minister Andrew Bonar Law.
  • C. LAW
    LAW is the IATA airport code for Lawton–Fort Sill Regional Airport in Lawton, Oklahoma, United States.
  • D. Law family
    The Law family is a British show-business family best known for including actor Jude Law and his model daughter Iris Law.
  • E. Law and Justice
    Law and Justice is a right-wing populist and national-conservative political party in Poland that has been one of the country’s dominant governing forces in the 21st century.
  • 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633f1f8688190a2df574a9e0a194d completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:39 p.m.