Triple

T23140478
Position Surface form Disambiguated ID Type / Status
Subject "Repent, Harlequin!" Said the Ticktockman E577445 entity
Predicate mainCharacter P1183 FINISHED
Object the Harlequin 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: the Harlequin | Statement: ["Repent, Harlequin!" Said the Ticktockman, mainCharacter, the Harlequin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the Harlequin
Context triple: ["Repent, Harlequin!" Said the Ticktockman, mainCharacter, the Harlequin]
  • A. The Harlequin
    The Harlequin was the original name of the Atria Watford shopping centre in Watford, Hertfordshire, England.
  • B. Harlequin
    Harlequin is a major publishing imprint best known for its extensive catalog of romance novels and commercial fiction.
  • C. Harlequin
    Harlequin was a software company best known for developing LispWorks and other advanced programming language tools in the 1980s and 1990s.
  • D. Harlequin chosen
    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.
  • E. Harlequin Valentine
    Harlequin Valentine is a dark, modern retelling of the Harlequin and Columbine commedia dell’arte myth written by Neil Gaiman.
  • 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_69e245f8e6248190ba3d58e068b4dccb completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18ec922b481908084eee6a95aef83 completed April 29, 2026, 4:53 a.m.
Created at: April 17, 2026, 4 p.m.