Triple

T8165252
Position Surface form Disambiguated ID Type / Status
Subject Lash Miller Chemical Laboratories E190675 entity
Predicate namedForFullName P17477 FINISHED
Object Lash Miller E715436 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: Lash Miller | Statement: [Lash Miller Chemical Laboratories, namedForFullName, Lash Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lash Miller
Context triple: [Lash Miller Chemical Laboratories, namedForFullName, Lash Miller]
  • A. Lash Miller chosen
    Lash Miller was a prominent Canadian chemist and professor at the University of Toronto, known for his influential work in physical chemistry and chemical education.
  • B. Patina Miller
    Patina Miller is an American actress and singer known for her work on television, film, and Broadway, including a Tony-winning performance in the musical "Pippin."
  • C. Jennifer Lash
    Jennifer Lash was a British novelist and painter known for her literary works and as the matriarch of the Fiennes acting family.
  • D. Tamara Miller
    Tamara Miller is a member of the Disney family and a granddaughter of Walt Disney through his daughter Diane Disney Miller.
  • E. Lindsay Mills
    Lindsay Mills is an American acrobat, dancer, and blogger best known as the longtime partner of NSA whistleblower Edward Snowden.
  • 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_69ca82c0ef14819083713f4473dd847c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb466698108190ba6aa625e9182b2a completed March 31, 2026, 3:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced4e6efc8190a74aea4ab213298b completed April 1, 2026, 10:02 a.m.
Created at: March 30, 2026, 5:38 p.m.