Triple

T12759612
Position Surface form Disambiguated ID Type / Status
Subject The Courier’s Tragedy E304955 entity
Predicate intertextualFunction P52226 FINISHED
Object parody of Jacobean drama 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: parody of Jacobean drama | Statement: [The Courier’s Tragedy, intertextualFunction, parody of Jacobean drama]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: intertextualFunction
Context triple: [The Courier’s Tragedy, intertextualFunction, parody of Jacobean drama]
  • A. intertextualRelation chosen
    Indicates a relationship in which one text references, echoes, or otherwise meaningfully connects to another text.
  • B. textualFunction
    Indicates a functional or structural role that a text segment serves within a larger document or discourse (e.g., title, caption, summary, instruction).
  • C. functionInText
    Indicates that a text segment serves a specific rhetorical or structural function within a larger text.
  • D. intendedInterpretation
    Indicates that one entity is meant to be understood or interpreted in a particular way, sense, or meaning relative to another.
  • E. figurativeMeaning
    Indicates that one entity is used in a non-literal, metaphorical, or symbolic sense to convey a meaning about another entity or concept.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d8d3eb08190ae998df5cc6d9ba6 completed April 10, 2026, 9:37 p.m.
PD Predicate disambiguation batch_69d96409739881909174ba005a986cb5 completed April 10, 2026, 8:56 p.m.
Created at: April 9, 2026, 5:28 p.m.