Triple

T19447307
Position Surface form Disambiguated ID Type / Status
Subject Willard Bartlett E486512 entity
Predicate name P16 FINISHED
Object Willard Bartlett 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: Willard Bartlett | Statement: [Willard Bartlett, name, Willard Bartlett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Willard Bartlett
Context triple: [Willard Bartlett, name, Willard Bartlett]
  • A. Willard Bartlett chosen
    Willard Bartlett was an American jurist who served as Chief Judge of the New York Court of Appeals in the early 20th century.
  • B. William Platt
    William Platt was a British Army general best known for leading successful operations against Italian forces in East Africa during the Second World War.
  • C. Orville Hitchcock Platt
    Orville Hitchcock Platt was an American lawyer and Republican politician who served as a long-time U.S. Senator from Connecticut in the late 19th and early 20th centuries.
  • D. Norton P. Otis
    Norton P. Otis was an American businessman and politician from New York, known for his role in the elevator industry and service in the U.S. House of Representatives.
  • E. Rufus Blodgett
    Rufus Blodgett was a 19th-century American politician who served as a U.S. Senator from New Jersey and was also a prominent railroad executive.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6338b25d88190bc137a411576c73f completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.