Triple

T21124759
Position Surface form Disambiguated ID Type / Status
Subject George Lyman Kittredge E520529 entity
Predicate middleName P143 FINISHED
Object Lyman 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: Lyman | Statement: [George Lyman Kittredge, middleName, Lyman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lyman
Context triple: [George Lyman Kittredge, middleName, Lyman]
  • A. Lyman
    Lyman is a small town located in Skagit County in the state of Washington, United States.
  • B. Lyman
    Lyman is a small town in South Carolina known historically for its textile mill roots and suburban residential character within the Spartanburg metropolitan area.
  • C. Lyman
    Lyman is a small village located in Scotts Bluff County in the western part of the U.S. state of Nebraska.
  • D. Lyman chosen
    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.
  • E. Qualley
    Qualley is the surname of an American family best known for actress and model Margaret Qualley and her mother, actress Andie MacDowell.
  • 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_69e0b50a623881909c0bbaf4f2c055e7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72237c1a4819090987c645114d452 completed April 21, 2026, 7:07 a.m.
Created at: April 16, 2026, 2:56 p.m.