Triple

T17793931
Position Surface form Disambiguated ID Type / Status
Subject Ernie Klump Jr. E444238 entity
Predicate hasRelative P367 FINISHED
Object Anna Klump E444806 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: Anna Klump | Statement: [Ernie Klump Jr., hasRelative, Anna Klump]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Klump
Context triple: [Ernie Klump Jr., hasRelative, Anna Klump]
  • A. Anna Klump chosen
    Anna Klump is a fictional character from the "Nutty Professor" comedy films, known as a member of the Klump family.
  • B. Nancy Ludwig
    Nancy Ludwig is known as the wife of American filmmaker and screenwriter John Hughes, a key figure behind many iconic 1980s teen movies.
  • C. Barbara Blomberg
    Barbara Blomberg was a 16th-century German woman best known as the mistress of Holy Roman Emperor Charles V and the mother of his illegitimate son, John of Austria (the Elder).
  • D. Cornelia Srebnick
    Cornelia Srebnick is a central character in the film "While We're Young," portrayed as a woman navigating marriage, creativity, and generational tensions in contemporary New York City.
  • E. Ann Fischer
    Ann Fischer was the wife of prominent American television newscaster David Brinkley.
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e487993a6c8190805e06d93dfc0dce completed April 19, 2026, 7:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02f83c9c388190ba48c3644114c4bc completed May 12, 2026, 9:51 a.m.
Created at: April 10, 2026, 10:13 a.m.