Triple

T8120887
Position Surface form Disambiguated ID Type / Status
Subject Montague E189603 entity
Predicate roleInRomeoAndJuliet P81380 FINISHED
Object name of one of the two feuding houses in Verona 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: name of one of the two feuding houses in Verona | Statement: [Montague, roleInRomeoAndJuliet, name of one of the two feuding houses in Verona]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInRomeoAndJuliet
Context triple: [Montague, roleInRomeoAndJuliet, name of one of the two feuding houses in Verona]
  • A. roleInFamousPlay
    Indicates that an entity portrays or has portrayed a specific character in a well-known theatrical play.
  • B. theaterRole
    Indicates that an entity holds or performs a specific role or character in a theatrical production in relation to another entity (such as a play or performance).
  • C. roleInScene
    Indicates that an entity participates in a particular scene with a specific role or function within that scene.
  • D. roleInRhyme
    Indicates the specific function or part an entity plays within a rhyme, such as a character, object, or structural element of the rhyming text.
  • E. playsInRole
    Indicates that an entity performs or appears in a specific role within a production, event, or context.
  • 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_69ca82bb74848190afb1f18640632c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4664fef881908b0dc7b158aca398 completed March 31, 2026, 3:58 a.m.
PD Predicate disambiguation batch_69cb368e7f4c81909aabd7716f0de79d completed March 31, 2026, 2:50 a.m.
PDg Predicate description generation batch_69cb46635424819085d086972b264280 completed March 31, 2026, 3:58 a.m.
Created at: March 30, 2026, 5:33 p.m.