Triple

T14964991
Position Surface form Disambiguated ID Type / Status
Subject Marge Gunderson E373166 entity
Predicate hasMemorableQuote P78667 FINISHED
Object And here ya are, and it’s a beautiful day. 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: And here ya are, and it’s a beautiful day. | Statement: [Marge Gunderson, hasMemorableQuote, And here ya are, and it’s a beautiful day.]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMemorableQuote
Context triple: [Marge Gunderson, hasMemorableQuote, And here ya are, and it’s a beautiful day.]
  • A. notableQuote
    Indicates that one entity is a significant or well-known quotation attributed to, recorded by, or strongly associated with another entity.
  • B. oftenMisquotedAs
    Indicates that one entity is frequently incorrectly cited or repeated as being another specific entity or expression.
  • C. quotationText chosen
    Indicates that the associated text is the exact content of a quotation made or referenced in the relationship.
  • D. hasMemorableMoments
    Indicates that something contains or is associated with particularly notable or unforgettable moments or events.
  • E. hasNotablePhrase
    Indicates that an entity is associated with a specific phrase or expression that is considered notable or characteristic of it.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e2fdcc8190bffe603db3388736 completed April 15, 2026, 12:08 a.m.
PD Predicate disambiguation batch_69de9a5d995881909e33658f5aea5582 completed April 14, 2026, 7:49 p.m.
Created at: April 10, 2026, 2:46 a.m.