Triple

T12156131
Position Surface form Disambiguated ID Type / Status
Subject Late dialogues of Plato E289578 entity
Predicate includesWork P2011 FINISHED
Object Laws E36435 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: Laws | Statement: [Late dialogues of Plato, includesWork, Laws]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laws
Context triple: [Late dialogues of Plato, includesWork, Laws]
  • A. Laws chosen
    Laws is one of Plato’s late philosophical dialogues, presenting a detailed exploration of legal theory, political organization, and the ideal constitution for a well-ordered city.
  • B. Ley
    Ley is an alternative spelling of the given name Leigh, used as a personal name or surname in English-speaking contexts.
  • C. The Law
    The Law is a 1974 American television film, written by Joel Oliansky, that offers a dramatic, behind-the-scenes look at the workings of the criminal justice system.
  • D. Law
    Law is a common English-language surname borne by various notable individuals, including political figures such as former British Prime Minister Andrew Bonar Law.
  • E. 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.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c1673c8190830cd15525d16869 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69c8d408190abbc900deb534045 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.