Triple

T3673975
Position Surface form Disambiguated ID Type / Status
Subject Lara E77944 entity
Predicate relatedName P3889 FINISHED
Object Lauren E90841 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: Lauren | Statement: [Lara, relatedName, Lauren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lauren
Context triple: [Lara, relatedName, Lauren]
  • A. Lauren chosen
    Lauren is a central female protagonist in the romantic comedy film "Think Like a Man," portrayed as a successful, relationship-seeking woman whose love life is influenced by Steve Harvey’s dating advice.
  • B. Laurene
    Laurene is the first name of Laurene Powell Jobs, an American businesswoman, philanthropist, and widow of Apple co-founder Steve Jobs.
  • C. Laurie
    Laurie is a charming, wealthy, and impulsive young man who becomes a close friend and would-be suitor to the March sisters in Louisa May Alcott’s novel "Little Women."
  • D. Lindsay
    Lindsay is a surname most notably associated with American poet Vachel Lindsay, a key figure in early 20th-century performance and visionary poetry.
  • E. Lindsay
    Lindsay is the fugitive Australian protagonist of Gregory David Roberts' novel "Shantaram," who rebuilds his life in the underworld of Bombay.
  • 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_69ad85e083008190b2e1b7085fe500bd completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc45fbd1c819099023791452f1beb completed March 8, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48854a2308190ba6a9fc39929b35c completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:25 p.m.