Triple

T19903208
Position Surface form Disambiguated ID Type / Status
Subject William Gambel E478345 entity
Predicate name P16 FINISHED
Object William Gambel 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 Gambel | Statement: [William Gambel, name, William Gambel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Gambel
Context triple: [William Gambel, name, William Gambel]
  • A. William Gambel chosen
    William Gambel was a 19th-century American naturalist and explorer known for his ornithological work in the western United States.
  • B. John Bellows
    John Bellows was a 19th-century English printer, lexicographer, and Quaker known for his compact French-English dictionary and contributions to religious and social causes.
  • C. John Bosworth
    John Bosworth is a seasoned, old-school Texas businessman and executive who serves as a mentor and stabilizing force amid the volatile tech innovators in the television drama "Halt and Catch Fire."
  • D. George Saxton
    George Saxton is the central fictional protagonist of D. H. Lawrence’s early novel "The White Peacock," around whom the story’s emotional and social conflicts revolve.
  • E. Henry Morton Robinson
    Henry Morton Robinson was an American novelist best known for writing the bestselling religious-themed novel "The Cardinal."
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65944c55481909b54a8f9a9c087d6 completed April 20, 2026, 4:50 p.m.
Created at: April 10, 2026, 1:52 p.m.