Triple

T12046826
Position Surface form Disambiguated ID Type / Status
Subject Lyman, Washington E286806 entity
Predicate namedAfter P63 FINISHED
Object Lyman (surname) E81745 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: Lyman (surname) | Statement: [Lyman, Washington, namedAfter, Lyman (surname)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lyman (surname)
Context triple: [Lyman, Washington, namedAfter, Lyman (surname)]
  • A. Lyman
    Lyman is a masculine given name of English origin that has been borne by various notable figures, including the American clergyman and reformer Lyman Beecher.
  • B. Lyman
    Lyman is a small town located in Skagit County in the state of Washington, United States.
  • C. Lyman family chosen
    The Lyman family is a prominent New England lineage with deep roots in early American history, known for its social, political, and economic influence and intermarriage with other notable families such as the Delanos.
  • D. Wyman
    Wyman is a character appearing in Willard Van Orman Quine’s philosophical essay “On What There Is,” used to illustrate issues in ontology and the problem of non-existent objects.
  • E. Luetkemeyer
    Luetkemeyer is the birth surname of American actress Julie Bowen, known for her roles in television and film.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904211b588190bfc7603e5b33dcb7 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49dc459308190bc88cb550e1d5b86 completed May 1, 2026, 12:34 p.m.
Created at: April 8, 2026, 9:47 p.m.