Triple

T13519684
Position Surface form Disambiguated ID Type / Status
Subject A rose by any other name would smell as sweet E322859 entity
Predicate hasCharacterContext P110084 FINISHED
Object Juliet reflecting on Romeo’s family name 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: Juliet reflecting on Romeo’s family name | Statement: [A rose by any other name would smell as sweet, hasCharacterContext, Juliet reflecting on Romeo’s family name]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCharacterContext
Context triple: [A rose by any other name would smell as sweet, hasCharacterContext, Juliet reflecting on Romeo’s family name]
  • A. hasCurrentCharacter
    Indicates that an entity is associated with or possesses a specific character that is currently active or in use.
  • B. hasCharacterClass
    Indicates that an entity (such as a character) belongs to or is assigned a particular character class or role type.
  • C. hasLocalCharacter
    Indicates that something possesses qualities, features, or significance that are specific to a particular locality or region.
  • D. hasTextualCharacter
    Indicates that something possesses or exhibits the qualities of written or printed text, such as letters, symbols, or characters.
  • E. hasLanguageCharacter
    Indicates that an entity uses, contains, or is associated with a specific written or symbolic character from a language.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa3df0c8190804174695587f0ea completed April 12, 2026, 2:43 p.m.
PD Predicate disambiguation batch_69dbae0b63748190b5e207f84b2532ea completed April 12, 2026, 2:36 p.m.
PDg Predicate description generation batch_69dbaee128d88190b097be17fdd2f92b completed April 12, 2026, 2:40 p.m.
Created at: April 9, 2026, 9:44 p.m.