Triple

T24857308
Position Surface form Disambiguated ID Type / Status
Subject Three Versions of Judas E622061 entity
Predicate hasFictionalCitationStyle P161623 FINISHED
Object academic footnotes and references 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: academic footnotes and references | Statement: [Three Versions of Judas, hasFictionalCitationStyle, academic footnotes and references]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFictionalCitationStyle
Context triple: [Three Versions of Judas, hasFictionalCitationStyle, academic footnotes and references]
  • A. hasFictionalAuthor
    Indicates that one entity is the fictional or in-universe author of a work attributed to them.
  • B. hasFormatInFiction
    Indicates that a work of fiction is presented or realized in a particular narrative or media format (e.g., novel, film, comic).
  • C. hasFictionalType
    Indicates that an entity is associated with or classified under a particular type or category that is fictional rather than real.
  • D. hasFictionalForm
    Indicates that an entity has a counterpart or representation that exists within a fictional or imaginary context.
  • E. hasFictionComponent
    Indicates that something includes, contains, or is composed in part of a fictional element 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_69e2fac350d08190b3affde1b451a8c5 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f6200ac60481909895c61d050b1338 completed May 2, 2026, 4:02 p.m.
PD Predicate disambiguation batch_69f61b37a5648190b10d33ae205ccfee completed May 2, 2026, 3:41 p.m.
PDg Predicate description generation batch_69f61f109ef48190873bfe18638d2046 completed May 2, 2026, 3:58 p.m.
Created at: April 18, 2026, 5:21 a.m.