Triple

T273533
Position Surface form Disambiguated ID Type / Status
Subject Henry Bacon E5197 entity
Predicate name P16 FINISHED
Object Henry Bacon E5197 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: Henry Bacon | Statement: [Henry Bacon, name, Henry Bacon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Bacon
Context triple: [Henry Bacon, name, Henry Bacon]
  • A. Henry Bacon chosen
    Henry Bacon was an American architect best known for designing the Lincoln Memorial in Washington, D.C.
  • B. Thomas Dudley
    Thomas Dudley was a prominent early Puritan leader and multiple-term governor of the Massachusetts Bay Colony in 17th-century New England.
  • C. Thomas Button
    Thomas Button was a 17th-century Welsh naval officer and explorer noted for his Arctic voyages in search of the Northwest Passage.
  • D. Julius Lankershim
    Julius Lankershim was a prominent 19th-century Los Angeles landowner and developer whose holdings and influence helped shape early Hollywood and the San Fernando Valley.
  • E. John Underhill
    John Underhill was a 17th-century English colonial soldier and militia leader in New England, known for his prominent and controversial role in early Native American conflicts.
  • 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_69a257e6c8788190987dfe705ca2912a completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25dd0a99c819089968a5400c58c5f completed Feb. 28, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a38f537f1c8190a59ac4669498a3fc completed March 1, 2026, 12:58 a.m.
Created at: Feb. 28, 2026, 2:59 a.m.