Triple

T13383517
Position Surface form Disambiguated ID Type / Status
Subject Kate Burton E319376 entity
Predicate theatreWork P27669 FINISHED
Object Present Laughter E246481 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: Present Laughter | Statement: [Kate Burton, theatreWork, Present Laughter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Present Laughter
Context triple: [Kate Burton, theatreWork, Present Laughter]
  • A. Present Laughter (stage) chosen
    Present Laughter (stage) is a classic comedic play by Noël Coward, centered on the romantic and professional entanglements of a self-absorbed actor.
  • B. Lucky Jim
    Lucky Jim is a 1954 comic novel by Kingsley Amis that satirizes academic life through the misadventures of a disillusioned young lecturer.
  • C. Lucky Jim
    Lucky Jim is a British musical duo known for their melancholic, folk-influenced indie sound and association with the Skint Records label.
  • D. Stiff Upper Lip, Jeeves
    "Stiff Upper Lip, Jeeves" is a comic novel by P. G. Wodehouse featuring the unflappable valet Jeeves and his hapless employer Bertie Wooster in one of their classic misadventures.
  • E. A Spot of Bother
    A Spot of Bother is a darkly comic novel by Mark Haddon that follows a middle-aged man's nervous breakdown amid the chaos of his dysfunctional family.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce80158819082156eaeaeda3bd8 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7268cf04c8190a35fd48ce81c149e completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:33 p.m.