Triple

T795456
Position Surface form Disambiguated ID Type / Status
Subject L. S. Lowry E17010 entity
Predicate givenName P17 FINISHED
Object Laurence E48169 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: Laurence | Statement: [L. S. Lowry, givenName, Laurence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laurence
Context triple: [L. S. Lowry, givenName, Laurence]
  • A. Laurence chosen
    Laurence is a masculine given name of Latin origin, commonly used in English-speaking countries.
  • B. Reginald
    Reginald is a masculine given name of English origin that has been borne by various notable figures, including military officers, politicians, and artists.
  • C. Leonard
    Leonard is a masculine given name of Germanic origin, commonly used in English-speaking countries and borne by numerous notable figures in arts, sports, and public life.
  • D. Archibald
    Archibald is a masculine given name of Scottish origin traditionally meaning "genuine" or "bold."
  • E. Harold
    Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
  • 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7b04cd8819092e2fd7ba4df8672 completed March 1, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826cc938481909e420185871a5d27 completed March 4, 2026, 12:34 p.m.
Created at: March 1, 2026, 7:38 p.m.