Triple

T22473611
Position Surface form Disambiguated ID Type / Status
Subject Jackie Burkhart E555567 entity
Predicate spinOffAppearanceType P148341 FINISHED
Object guest appearance 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: guest appearance | Statement: [Jackie Burkhart, spinOffAppearanceType, guest appearance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: spinOffAppearanceType
Context triple: [Jackie Burkhart, spinOffAppearanceType, guest appearance]
  • A. spinOffWorkType
    Indicates the type or category of a work that has been created as a spin-off from another original work.
  • B. spinOff
    Indicates that a new entity is created by separating or divesting part of an existing entity, forming an independent offshoot derived from the original.
  • C. spinoffAppearance
    Indicates that an entity appears in a derivative or spinoff work related to another original work or series.
  • D. spinOffRole
    Indicates that one role or position has been derived or created as a secondary or offshoot role from another original role.
  • E. spinOffCharacter
    Indicates that one character originates as a derivative or secondary creation from another, typically branching off into its own distinct narrative or work.
  • 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_69e11e52c2048190952dc5df209b9bed completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15be2034c81909d1263f2ed114b46 completed April 29, 2026, 1:16 a.m.
PD Predicate disambiguation batch_69e898b6eee08190ba673a0ee329e671 completed April 22, 2026, 9:45 a.m.
PDg Predicate description generation batch_69e8aa39e3388190b659d59948ebf3e6 completed April 22, 2026, 11 a.m.
Created at: April 16, 2026, 8:49 p.m.