Triple

T3279966
Position Surface form Disambiguated ID Type / Status
Subject Cupid E68848 entity
Predicate equivalentTo P6530 FINISHED
Object Amor E189262 NE 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: Amor | Statement: [Cupid, equivalentTo, Amor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amor
Context triple: [Cupid, equivalentTo, Amor]
  • A. Amor chosen
    Amor is the personification of love in Christoph Willibald Gluck’s opera "Orphée et Eurydice," often depicted as a divine figure guiding the fate of the lovers.
  • B. Amores
    Amores is a collection of Latin love elegies by the Roman poet Ovid that playfully explore themes of romance, desire, and poetic artistry.
  • C. Desiderio
    Desiderio is the Spanish given name of Desi Arnaz, the Cuban-American actor, musician, and producer best known for co-starring in the classic TV series "I Love Lucy."
  • D. Honor et Amor
    Honor et Amor is the Latin family motto of the Carnegie family, expressing the values of honor and love.
  • E. Il Filocolo
    Il Filocolo is an early prose romance by Giovanni Boccaccio that reworks the medieval tale of Florio and Biancifiore and marks a significant step in the development of Italian narrative fiction.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad859c463481909ca4be267336c290 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0166c8c81909cb0a580ef319be3 completed March 8, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e851d2bc8190ba887cd1c81c880d completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:10 p.m.