Triple

T5604846
Position Surface form Disambiguated ID Type / Status
Subject Honor et Amor E147207 entity
Predicate hasWord P35 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: [Honor et Amor, hasWord, Amor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amor
Context triple: [Honor et Amor, hasWord, 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. Amore
    Amore is a studio album by Italian tenor Andrea Bocelli that blends pop and classical crossover interpretations of romantic songs.
  • D. Amor bravío
    Amor bravío is a Mexican telenovela best known for its dramatic romantic storyline and for starring actress Silvia Navarro in a leading role.
  • E. Two Lovers
    Two Lovers is a 2008 romantic drama film directed by James Gray that follows a troubled man torn between a stable relationship and a passionate but complicated affair.
  • 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_69c0090500f881908374285baf0ac46f completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020f9408481908cf006074c726301 completed March 22, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0287649cc8190ae356790dd993973 completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:39 p.m.