Triple

T6492600
Position Surface form Disambiguated ID Type / Status
Subject Robert Ley E148077 entity
Predicate familyName P18 FINISHED
Object Ley E42987 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: Ley | Statement: [Robert Ley, familyName, Ley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ley
Context triple: [Robert Ley, familyName, Ley]
  • A. Ley chosen
    Ley is an alternative spelling of the given name Leigh, used as a personal name or surname in English-speaking contexts.
  • B. Laws
    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.
  • C. Ley Iglesias
    Ley Iglesias was a controversial 19th-century Mexican law that regulated ecclesiastical fees and limited the Catholic Church’s economic power during the Reform era.
  • D. By the Law
    "By the Law" is a 1926 Soviet silent drama film directed by Lev Kuleshov, renowned for its stark psychological portrayal of moral conflict and its innovative use of montage.
  • E. Ley de Enjuiciamiento Civil
    La Ley de Enjuiciamiento Civil es la norma básica que regula el procedimiento de los juicios civiles y mercantiles en España.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a9bf9208190b0957eda06ed3d65 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653bf5c30819083e4e5484b2bd8cc completed March 27, 2026, 9:54 a.m.
Created at: March 22, 2026, 4:53 p.m.