Triple

T19852933
Position Surface form Disambiguated ID Type / Status
Subject Feathered Friend E477046 entity
Predicate hasTitleCharacter P5716 FINISHED
Object Claribel NE NERFINISHED

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: Claribel | Statement: [Feathered Friend, hasTitleCharacter, Claribel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claribel
Context triple: [Feathered Friend, hasTitleCharacter, Claribel]
  • A. Claribel chosen
    Claribel is a fictional character appearing in the science fiction short story "Feathered Friend" by Arthur C. Clarke.
  • B. Clorinda
    Clorinda is a border city in northeastern Argentina’s Formosa Province, located opposite Asunción, Paraguay, and serving as an important regional commercial and transport hub.
  • C. Clorinda
    Clorinda is a heroic warrior woman in Torquato Tasso’s epic poem "Gerusalemme liberata," renowned for her valor, tragic fate, and complex relationship with the Christian knight Tancredi.
  • D. Caila
    Caila is an alternate given name associated with American actress and producer Marsai Martin.
  • E. Leonila
    Leonila is a feminine given name commonly used in the Philippines and other Spanish-influenced cultures.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65869e1b481908e2a2a2074ff4a6d completed April 20, 2026, 4:46 p.m.
Created at: April 10, 2026, 1:51 p.m.