Triple

T8592939
Position Surface form Disambiguated ID Type / Status
Subject Lauri E203471 entity
Predicate relatedName P3889 FINISHED
Object Lauri (surname) E203471 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: Lauri (surname) | Statement: [Lauri, relatedName, Lauri (surname)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lauri (surname)
Context triple: [Lauri, relatedName, Lauri (surname)]
  • A. Lauri chosen
    Lauri is a Finnish given name commonly used for men, notably borne by former President of Finland Lauri Kristian Relander.
  • B. Lindsey (surname)
    Lindsey is an English-language surname of Old English origin, historically associated with the region of Lindsey in Lincolnshire.
  • C. Laur
    Laur is a rural municipality in the province of Nueva Ecija in the Philippines, known for its agricultural landscape and proximity to the Sierra Madre mountain range.
  • D. Douglas (surname)
    Douglas (surname) is a Scottish family name of Gaelic origin historically associated with a powerful Lowland clan and widely borne in English-speaking countries.
  • E. Laurits
    Laurits is a given name, primarily used in Scandinavian countries, that is a variant of the name Lars.
  • 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_69ca832a7f108190b4e4f5648abf4aa2 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc4668b49481908838579e9876c1ec completed March 31, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8becbd88190837478e302d5e5b4 completed April 2, 2026, 5:34 p.m.
Created at: March 30, 2026, 6:23 p.m.