Triple

T19918112
Position Surface form Disambiguated ID Type / Status
Subject Lauren E478716 entity
Predicate hasDiminutiveForm P456 FINISHED
Object Laur 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: Laur | Statement: [Lauren, hasDiminutiveForm, Laur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laur
Context triple: [Lauren, hasDiminutiveForm, Laur]
  • A. Laur chosen
    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.
  • B. Laurin
    Laurin is a Scottish surname historically linked to Clan MacLaren, a Highland clan from the central Scottish Highlands.
  • C. Lauri
    Lauri is a Finnish given name commonly used for men, notably borne by former President of Finland Lauri Kristian Relander.
  • D. Lauran
    Lauran is a given name most notably borne by American Western and historical fiction author Lauran Paine.
  • E. Laure
    Laure is a feminine given name, primarily used in French-speaking countries, that is a variant of the name Laura.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659c3d990819089386d9f30323e8c completed April 20, 2026, 4:52 p.m.
Created at: April 10, 2026, 1:53 p.m.