Triple

T7990098
Position Surface form Disambiguated ID Type / Status
Subject Orrington Lunt E185978 entity
Predicate knownAs P39 FINISHED
Object Orrington Lunt E185978 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: Orrington Lunt | Statement: [Orrington Lunt, knownAs, Orrington Lunt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orrington Lunt
Context triple: [Orrington Lunt, knownAs, Orrington Lunt]
  • A. Orrington Lunt chosen
    Orrington Lunt was a 19th-century Chicago grain merchant and philanthropist who played a key role in establishing Northwestern University.
  • B. Cecil Hartnett
    Cecil Hartnett is an individual notable enough to be recognized as a bearer of the Hartnett surname, though specific public details about his life or achievements are not widely documented.
  • C. William Walters
    William Walters is a fictional character appearing in Daniel Defoe’s adventure novel "Captain Singleton."
  • D. Ludlow Wray
    Ludlow "Lud" Wray was an early 20th-century American football player and coach who helped found and coach in the National Football League.
  • E. Edgar Lyons
    Edgar Lyons was a cinematographer active during the early sound era of American cinema, known for his work on the pioneering all-talking feature film "Lights of New York."
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c4f98808190879113ad4af9bb4d completed March 31, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd33e50f0c81909c96da2d78f17ffd completed April 1, 2026, 3:04 p.m.
Created at: March 30, 2026, 5:16 p.m.