Triple

T4891944
Position Surface form Disambiguated ID Type / Status
Subject Regina Lasko E109583 entity
Predicate hasChild P369 FINISHED
Object Harry Joseph Letterman E92462 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: Harry Joseph Letterman | Statement: [Regina Lasko, hasChild, Harry Joseph Letterman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Joseph Letterman
Context triple: [Regina Lasko, hasChild, Harry Joseph Letterman]
  • A. Harry Joseph Letterman chosen
    Harry Joseph Letterman is the son of American television host and comedian David Letterman.
  • B. Chet Huntley
    Chet Huntley was a prominent American television newscaster best known as one half of the influential NBC evening news team "The Huntley–Brinkley Report" during the 1950s and 1960s.
  • C. Tony Eason
    Tony Eason is a former American football quarterback best known for playing in the NFL during the 1980s, primarily with the New England Patriots.
  • D. Greg Gumbel
    Greg Gumbel is an American sportscaster best known for his long tenure with CBS Sports, where he has called NFL, NCAA basketball, and other major sporting events.
  • E. Tom Snyder
    Tom Snyder was an American television personality and pioneering late-night talk show host known for his in-depth, conversational interview style on programs like "Tomorrow" and "The Late Late Show."
  • 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_69bd4410bbf88190aad50d2451c863d6 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e2444dc819088d5562e90d16d9b completed March 20, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fbf3e74819099910475bbd18734 completed March 21, 2026, 10:15 a.m.
Created at: March 20, 2026, 1:28 p.m.