Triple

T20665063
Position Surface form Disambiguated ID Type / Status
Subject Martin, Tennessee E507862 entity
Predicate namedFor P63 FINISHED
Object William Martin 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: William Martin | Statement: [Martin, Tennessee, namedFor, William Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Martin
Context triple: [Martin, Tennessee, namedFor, William Martin]
  • A. William Martin chosen
    William Martin is a relatively common English personal name shared by numerous historical and contemporary figures across various professions and regions.
  • B. Joseph Martin
    Joseph Martin was an American frontiersman, soldier, and land speculator whose influence in early American settlement led to places such as Martinsville, Virginia being named in his honor.
  • C. Philip Cunningham
    Philip Cunningham is a personal name shared by multiple individuals, including figures in fields such as politics, academia, and the arts.
  • D. Franklin Martin
    Franklin Martin was an American physician and medical leader best known for founding the American Cancer Society.
  • E. William MacDermott
    William MacDermott is an individual whose name is a variant spelling of William McDermott, likely referring to the same person in historical or biographical records.
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c2c6d48190bbfe505cf7d973f9 completed April 20, 2026, 11:24 p.m.
Created at: April 16, 2026, 11:44 a.m.