Triple

T15744173
Position Surface form Disambiguated ID Type / Status
Subject Elias Lyman E381676 entity
Predicate familyName P18 FINISHED
Object Lyman E73402 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 | Statement: [Elias Lyman, familyName, Lyman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lyman
Context triple: [Elias Lyman, familyName, Lyman]
  • A. 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.
  • B. 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.
  • C. Lyman
    Lyman is a small town located in Skagit County in the state of Washington, United States.
  • D. Qualley
    Qualley is the surname of an American family best known for actress and model Margaret Qualley and her mother, actress Andie MacDowell.
  • E. Hoyt
    Hoyt is a family surname of English origin borne by various notable individuals, including Mary Hoyt Sherman before her marriage.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0502c0c3c8190b8e512df307039c1 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9094b4008190bb5c65fa2bd0f0b5 completed May 9, 2026, 7:52 p.m.
Created at: April 10, 2026, 4:46 a.m.