Triple

T20224025
Position Surface form Disambiguated ID Type / Status
Subject Mia (Love Actually) E495328 entity
Predicate receivesGiftFrom P23811 FINISHED
Object Harry (Love Actually) NE NERFINISHED

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 (Love Actually) | Statement: [Mia (Love Actually), receivesGiftFrom, Harry (Love Actually)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry (Love Actually)
Context triple: [Mia (Love Actually), receivesGiftFrom, Harry (Love Actually)]
  • A. Harry (Love Actually) chosen
    Harry is a middle-aged design agency director in the film "Love Actually" whose flirtation with his secretary strains his marriage to Karen.
  • B. Bernie (Love Actually)
    Bernie is one of Karen and Harry’s young children in the ensemble romantic comedy film "Love Actually."
  • C. 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.
  • D. Daniel (Love Actually)
    Daniel is a central character in the film "Love Actually," a recently widowed stepfather who tenderly supports his young stepson Sam through first love and grief.
  • E. Handsome Harry
    Handsome Harry is a 2009 independent crime drama film that follows a former sailor confronting his past involvement in a brutal assault as he reconnects with old Navy buddies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fd827708190b798a30f4e7d533f completed April 20, 2026, 6:26 p.m.
Created at: April 11, 2026, 11:39 p.m.