Triple

T9356417
Position Surface form Disambiguated ID Type / Status
Subject The World According to Garp E225150 entity
Predicate containsFictionWithinFiction P31994 FINISHED
Object excerpts from Garp’s own writings 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: excerpts from Garp’s own writings | Statement: [The World According to Garp, containsFictionWithinFiction, excerpts from Garp’s own writings]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsFictionWithinFiction
Context triple: [The World According to Garp, containsFictionWithinFiction, excerpts from Garp’s own writings]
  • A. hasFictionComponent chosen
    Indicates that something includes, contains, or is composed in part of a fictional element or work.
  • B. hasRelativeInFiction
    Indicates that one entity has a relative or family member who appears as a character within a fictional work associated with the other entity.
  • C. hasChildInFiction
    Indicates that a fictional work or character includes another character as their child within the fictional narrative.
  • D. guardedByInFiction
    Indicates that one fictional entity is protected or watched over by another within a narrative context.
  • E. hasGroundsInFiction
    Indicates that something is based on, justified by, or finds its origin within fictional works or narratives.
  • 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_69ca842abfd48190949d71c3b86eeba8 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4fee9d4c8190a7d121c9487ccca2 completed April 1, 2026, 5:03 p.m.
PD Predicate disambiguation batch_69cc7a68ab9481909f97cb70764697cc completed April 1, 2026, 1:52 a.m.
Created at: March 30, 2026, 7:42 p.m.