Triple

T15242140
Position Surface form Disambiguated ID Type / Status
Subject William W. Boyington E364282 entity
Predicate hasSurname P18 FINISHED
Object Boyington E364282 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: Boyington | Statement: [William W. Boyington, hasSurname, Boyington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boyington
Context triple: [William W. Boyington, hasSurname, Boyington]
  • A. Boyington chosen
    Boyington is a surname most notably associated with American architect William W. Boyington, known for designing prominent 19th-century buildings in Chicago.
  • B. Fort Cavazos
    Fort Cavazos is a major U.S. Army installation in Texas that serves as a key training and operational base for armored and mechanized forces.
  • C. Fort Wolters
    Fort Wolters is a former U.S. Army training base near Mineral Wells, Texas, best known as a major helicopter training center during the Vietnam War era.
  • D. Fort Bliss
    Fort Bliss is a major United States Army installation in West Texas and New Mexico, known for air defense artillery training and extensive desert training grounds.
  • E. Barksdale
    Barksdale is a surname most notably associated with American executive Jim Barksdale, former CEO of Netscape Communications.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007dcc33081908545ea1a1d2c19fe completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd41b7c48190917385c6c61370b2 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:13 a.m.