Triple

T14290071
Position Surface form Disambiguated ID Type / Status
Subject Richard Meeker Jr. E354286 entity
Predicate father P120 FINISHED
Object Richard Meeker Sr. E354286 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: Richard Meeker Sr. | Statement: [Richard Meeker Jr., father, Richard Meeker Sr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Meeker Sr.
Context triple: [Richard Meeker Jr., father, Richard Meeker Sr.]
  • A. Richard Meeker Jr. chosen
    Richard Meeker Jr. was the only child of actress Mary Tyler Moore, whose life was largely kept private and is chiefly remembered in connection with his famous mother.
  • B. Ralph Meeker
    Ralph Meeker was an American actor best known for his tough-guy roles in film noir and drama during the 1950s and 1960s.
  • C. Walter Lundin
    Walter Lundin was an American cinematographer best known for his work on silent-era comedies, particularly films starring Harold Lloyd.
  • D. Charles F. Muntz
    Charles F. Muntz is the obsessed and disgraced explorer villain from Pixar's animated film "Up," known for his ruthless quest to capture a rare bird.
  • E. K. T. McFarland
    K. T. McFarland is an American foreign policy analyst and former government official who served in senior national security roles, including in the Trump administration.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6981e9148190baf2ed56a7b7340e completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd46812ed48190b879afe9a93784e8 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:11 a.m.