Triple

T11861931
Position Surface form Disambiguated ID Type / Status
Subject Appassionata E282179 entity
Predicate hasNicknameStatus P101915 FINISHED
Object popular nickname rather than original title 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: popular nickname rather than original title | Statement: [Appassionata, hasNicknameStatus, popular nickname rather than original title]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNicknameStatus
Context triple: [Appassionata, hasNicknameStatus, popular nickname rather than original title]
  • A. hasNicknameForm
    Indicates that one entity is a nickname or informal variant form of another entity’s name.
  • B. isNickname
    Indicates that one name is an informal or alternative name commonly used to refer to the same person or entity as another name.
  • C. hasSupporterNickname
    Indicates that an entity is associated with a nickname or informal name used specifically by its supporters or fans.
  • D. usesNicknameOf
    Indicates that one entity refers to another entity by a nickname derived from or associated with that other entity’s name.
  • E. hasNicknamedEntityType
    Indicates that an entity is associated with another entity type specifically in the role of being its nickname or informal name.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a69b16bc8190999a0c1240f9ce6a completed April 10, 2026, 7:28 a.m.
PD Predicate disambiguation batch_69d8a2573dbc8190ab432e8e28fde6cc completed April 10, 2026, 7:10 a.m.
PDg Predicate description generation batch_69d8a43cc0c881909fed7cd759fe90b1 completed April 10, 2026, 7:18 a.m.
Created at: April 8, 2026, 9:43 p.m.