Triple

T10233175
Position Surface form Disambiguated ID Type / Status
Subject Alla Pugacheva E243394 entity
Predicate notableWork P4 FINISHED
Object Harlequin E331281 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: Harlequin | Statement: [Alla Pugacheva, notableWork, Harlequin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harlequin
Context triple: [Alla Pugacheva, notableWork, Harlequin]
  • A. Harlequin
    Harlequin is a classic comic servant character from the Italian commedia dell’arte tradition, known for his colorful diamond-patterned costume, acrobatic antics, and mischievous, witty personality.
  • B. Harlequin chosen
    Harlequin is a major publishing imprint best known for its extensive catalog of romance novels and commercial fiction.
  • C. Harlequin Enterprises
    Harlequin Enterprises is a major publisher best known for its mass-market romance novels and global reach in the popular fiction market.
  • D. Harlequin Valentine
    Harlequin Valentine is a dark, modern retelling of the Harlequin and Columbine commedia dell’arte myth written by Neil Gaiman.
  • E. Woolfords
    Woolfords is a small rural village in West Lothian, Scotland, situated near the town of West Calder.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d20ba5348190a5aac664645416d5 completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f74c66048190a0ba1cba593cccb5 completed April 9, 2026, 12:48 a.m.
Created at: April 6, 2026, 11:20 a.m.