Triple

T10312020
Position Surface form Disambiguated ID Type / Status
Subject Laura Bell Bundy E241914 entity
Predicate notableWork P4 FINISHED
Object Sweetheart E634440 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: Sweetheart | Statement: [Laura Bell Bundy, notableWork, Sweetheart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sweetheart
Context triple: [Laura Bell Bundy, notableWork, Sweetheart]
  • A. Sweetheart
    "Sweetheart" is a song featured on the album "#1's."
  • B. Sweetheart chosen
    Sweetheart is a 2019 survival horror film in which a young woman stranded on a deserted island must confront a terrifying sea monster.
  • C. Sweetie
    Sweetie is a 1989 Australian black comedy-drama film directed by Jane Campion that explores a dysfunctional family through darkly surreal and psychologically intense storytelling.
  • D. Auf Wiederseh’n Sweetheart
    "Auf Wiederseh’n Sweetheart" is a popular 1952 sentimental song famously recorded by British singer Vera Lynn that became a major international hit.
  • E. Piece of Your Heart
    "Piece of Your Heart" is a 2019 dance track by Italian production trio Meduza featuring British vocal duo Goodboys that became an international house music hit.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d32b85288190a11e09a0ab80d66c completed April 7, 2026, 9:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7502f7b308190aaefd62f2f8a0ac3 completed April 9, 2026, 7:07 a.m.
Created at: April 6, 2026, 11:48 a.m.