Triple

T11980464
Position Surface form Disambiguated ID Type / Status
Subject Coppélia E285142 entity
Predicate originalMaleLeadRole P102705 FINISHED
Object Franz E445025 NE FINISHED

How this triple was built (3 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: Franz | Statement: [Coppélia, originalMaleLeadRole, Franz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franz
Context triple: [Coppélia, originalMaleLeadRole, Franz]
  • A. Franz chosen
    Franz is a character in Louisa May Alcott's novel "Little Men," one of the boys at Plumfield School whose experiences reflect the book's themes of growth, education, and moral development.
  • B. Franz
    Franz is a German-language surname of Central European origin borne by various notable individuals.
  • C. Franz
    Franz is one of the central, romantically entangled young protagonists in Jean-Luc Godard’s 1964 French New Wave film "Bande à part."
  • D. Franz
    Franz is the given name of Frank X. Leyendecker, an American illustrator known for his magazine covers and advertising art in the early 20th century.
  • E. Franz
    Franz is the given name of Franz Cardinal König, a prominent 20th-century Austrian Catholic cardinal and influential church leader.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: originalMaleLeadRole
Context triple: [Coppélia, originalMaleLeadRole, Franz]
  • A. maleLeadActor
    Indicates that the subject is the primary male actor in a performance or production.
  • B. hasLeadCharacterGender
    Indicates that the primary or lead character in a work has a specified gender.
  • C. replacesInLeadRole
    Indicates that one entity takes over or substitutes for another entity in the primary or leading role within a given context or production.
  • D. isMaleCharacter
    Indicates that the referenced character is identified as male.
  • E. primaryActor
    Indicates that the referenced entity is the main participant or most central party responsible for the action or event in the relationship.
  • F. None of above. chosen

Provenance (5 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903acbb9081908fe7f8360057785c completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a76b0a48190800c5b3cc40308f3 completed May 2, 2026, 4:46 p.m.
PD Predicate disambiguation batch_69d902abca70819098291aa51b593708 completed April 10, 2026, 2:01 p.m.
PDg Predicate description generation batch_69d903a8695c8190bfa9d7ca50834f9f completed April 10, 2026, 2:05 p.m.
Created at: April 8, 2026, 9:46 p.m.