Triple

T11853169
Position Surface form Disambiguated ID Type / Status
Subject Cantaloupe Island E281959 entity
Predicate hasTitleWordplay P36401 FINISHED
Object reference to “cantaloupe” fruit LITERAL 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: reference to “cantaloupe” fruit | Statement: [Cantaloupe Island, hasTitleWordplay, reference to “cantaloupe” fruit]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTitleWordplay
Context triple: [Cantaloupe Island, hasTitleWordplay, reference to “cantaloupe” fruit]
  • A. hasTitlePun chosen
    Indicates that an entity’s title involves a pun or wordplay, typically combining multiple meanings or sounds for humorous or clever effect.
  • B. taglineWordplay
    Indicates that a tagline employs wordplay, such as puns, double meanings, or playful language, as a key part of its expression.
  • C. isPlayOnWordsWith
    Indicates a relationship where one expression is a pun or wordplay that depends on, echoes, or cleverly twists the wording or meaning of another expression.
  • D. titleAlludesTo
    Indicates that one title makes an indirect or suggestive reference to the content, theme, or another work associated with the other.
  • E. usesDoubleEntendre
    Indicates that one entity employs language or expressions with a double meaning, often to convey a hidden or suggestive message alongside a literal one.
  • F. None of above.

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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a696ee548190800d56c64c339b10 completed April 10, 2026, 7:28 a.m.
PD Predicate disambiguation batch_69d8a2573dbc8190ab432e8e28fde6cc completed April 10, 2026, 7:10 a.m.
Created at: April 8, 2026, 9:43 p.m.