Triple

T5111990
Position Surface form Disambiguated ID Type / Status
Subject Bernie (Love Actually) E115234 entity
Predicate hasParent P120 FINISHED
Object Karen (Love Actually) E20958 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: Karen (Love Actually) | Statement: [Bernie (Love Actually), hasParent, Karen (Love Actually)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karen (Love Actually)
Context triple: [Bernie (Love Actually), hasParent, Karen (Love Actually)]
  • A. Karen (Love Actually) chosen
    Karen is a central character in the romantic comedy film "Love Actually," a devoted wife and mother whose emotional storyline explores marital strain and heartbreak.
  • B. Sarah (Love Actually)
    Sarah is a shy, kind-hearted office worker in the film "Love Actually," whose unrequited love for a colleague is complicated by her deep responsibility for her mentally ill brother.
  • C. Mia (Love Actually)
    Mia is Harry’s seductive and manipulative secretary in "Love Actually," whose flirtation with him threatens his marriage.
  • D. Daisy (Love Actually)
    Daisy is Karen and Harry’s young daughter in the film "Love Actually," best known for her role in the school Christmas pageant scene.
  • E. Alison Pill
    Alison Pill is a Canadian actress known for her versatile performances in film, television, and theater, including prominent roles in projects like "Scott Pilgrim vs. the World," "The Newsroom," and "Star Trek: Picard."
  • 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_69bd4441d1648190a54a533895041987 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75ca57e881908242def2a032902e completed March 20, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10ba84d88190babe5d9f676ba7b6 completed March 21, 2026, 9:42 p.m.
Created at: March 20, 2026, 1:41 p.m.