Triple

T15844759
Position Surface form Disambiguated ID Type / Status
Subject Doctor Who: The Thirteenth Doctor (Titan Comics) E384185 entity
Predicate hasStoryFormat P116835 FINISHED
Object serialized comic stories 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: serialized comic stories | Statement: [Doctor Who: The Thirteenth Doctor (Titan Comics), hasStoryFormat, serialized comic stories]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStoryFormat
Context triple: [Doctor Who: The Thirteenth Doctor (Titan Comics), hasStoryFormat, serialized comic stories]
  • A. hasFormatInFiction chosen
    Indicates that a work of fiction is presented or realized in a particular narrative or media format (e.g., novel, film, comic).
  • B. narrativeFormat
    Indicates the specific structural or stylistic form in which a narrative is presented or expressed.
  • C. hasNarrative
    Indicates that one entity contains, presents, or is associated with a story or narrative about another entity or subject.
  • D. hasFictionComponent
    Indicates that something includes, contains, or is composed in part of a fictional element or work.
  • E. hasAnthologyFormat
    Indicates that an entity is presented or structured in the form of an anthology (a collection of distinct works or pieces).
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142eb20088190bb45e37ce3291ef2 completed April 16, 2026, 8:13 p.m.
PD Predicate disambiguation batch_69e005434ed88190baf11c169da3cf29 completed April 15, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:50 a.m.