Triple

T16034242
Position Surface form Disambiguated ID Type / Status
Subject Tita De la Garza E388925 entity
Predicate notableWorkSection P121677 FINISHED
Object chapter-structured by monthly recipes 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: chapter-structured by monthly recipes | Statement: [Tita De la Garza, notableWorkSection, chapter-structured by monthly recipes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableWorkSection
Context triple: [Tita De la Garza, notableWorkSection, chapter-structured by monthly recipes]
  • A. notableWork
    Indicates that one entity is a significant or well-known work (such as a book, artwork, or creation) produced by another entity.
  • B. notableWorkAs
    Indicates a relationship where a particular work is recognized as a significant or distinguished creation associated with an entity.
  • C. notableWorkIn
    Indicates that an entity is known for or associated with a significant work, contribution, or achievement in a particular field or context.
  • D. notableWorkSetHere
    Indicates that a notable creative work is set in or takes place within the referenced location.
  • E. notableWorkWith
    Indicates a relationship where two or more entities are recognized for having collaborated on or been jointly associated with a significant work or project.
  • F. None of above. chosen

Provenance (4 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1ff63edb0819092cbb671967bbdcd completed April 17, 2026, 9:37 a.m.
PD Predicate disambiguation batch_69e1826f34c081908005bb736f1c485d completed April 17, 2026, 12:44 a.m.
PDg Predicate description generation batch_69e1ff5cd7e481908a29214139a3de2e completed April 17, 2026, 9:37 a.m.
Created at: April 10, 2026, 4:56 a.m.