Triple

T8839328
Position Surface form Disambiguated ID Type / Status
Subject Dylan Lauren E210347 entity
Predicate name P16 FINISHED
Object Dylan Lauren E210347 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: Dylan Lauren | Statement: [Dylan Lauren, name, Dylan Lauren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dylan Lauren
Context triple: [Dylan Lauren, name, Dylan Lauren]
  • A. Dylan Lauren chosen
    Dylan Lauren is an American entrepreneur best known as the founder and owner of Dylan’s Candy Bar, a popular upscale candy store chain.
  • B. Jesse Dylan
    Jesse Dylan is an American film director and producer known for directing feature films, music videos, and commercials, and as the son of musician Bob Dylan and artist Sara Dylan.
  • C. Dylan Michael Douglas
    Dylan Michael Douglas is the son of actors Michael Douglas and Catherine Zeta-Jones, occasionally appearing in public and media alongside his famous parents.
  • D. Dylan Taylor
    Dylan Taylor is a Canadian actor known for his work in film and television, including roles in projects like the teen comedy-drama "Charlie Bartlett."
  • E. Dylan Clark
    Dylan Clark is a film producer known for his work on major Hollywood projects including "The Mountain Between Us" and the "Planet of the Apes" reboot series.
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60849f8c8190b7735defecf55a5d completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf89933e8c81909672bcec70f7d5ce completed April 3, 2026, 9:34 a.m.
Created at: March 30, 2026, 6:48 p.m.