Triple

T8037758
Position Surface form Disambiguated ID Type / Status
Subject George Washington E187152 entity
Predicate appointed P8660 FINISHED
Object John Steele E187152 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: John Steele | Statement: [George Washington, appointed, John Steele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Steele
Context triple: [George Washington, appointed, John Steele]
  • A. John Steele
    John Steele was an American paratrooper of the 82nd Airborne Division famously known for dangling from the church steeple in Sainte-Mère-Église during the D-Day landings in World War II.
  • B. John Steele chosen
    John Steele was an American statesman who served as the first Comptroller of the U.S. Treasury under President George Washington, helping to establish the young nation’s financial administration.
  • C. John Dolman
    John Dolman was an English clergyman and benefactor of the late 16th century best known for establishing Pocklington School in Yorkshire.
  • D. William Mathews
    William Mathews was a 19th-century British mountaineer notable for pioneering ascents in the Alps.
  • E. Anthony Heald
    Anthony Heald is an American character actor known for his versatile supporting roles in film, television, and theater, including notable appearances in movies like "The Silence of the Lambs" and "8MM."
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f19a6b4819085e2887fb0c54d08 completed March 31, 2026, 3:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce38eaf93481908939e770f0dda7f5 completed April 2, 2026, 9:37 a.m.
Created at: March 30, 2026, 5:23 p.m.