Triple

T19784037
Position Surface form Disambiguated ID Type / Status
Subject John Updike E475211 entity
Predicate notableWork P4 FINISHED
Object Couples 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: Couples | Statement: [John Updike, notableWork, Couples]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Couples
Context triple: [John Updike, notableWork, Couples]
  • A. Couples chosen
    Couples is a 1968 novel by John Updike that portrays the complex sexual and emotional entanglements of a group of married couples in a New England suburb.
  • B. Man and Wife
    "Man and Wife" is a sensation novel by Wilkie Collins that explores Victorian marriage laws, identity, and social hypocrisy through a complex plot of deception and legal entanglements.
  • C. Pareja
    Pareja is a Spanish surname borne by various notable individuals, including Colombian former footballer and coach Óscar Pareja.
  • D. Couplehood
    "Couplehood" is a humorous essay collection by comedian and actor Paul Reiser that explores the quirks and challenges of romantic relationships.
  • E. Mann and Wife
    Mann and Wife is an American television sitcom starring Tony Rock that centers on the comedic challenges of a blended family.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65385ee8081908d58cc3ff05b9b23 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:49 p.m.