Triple

T16253269
Position Surface form Disambiguated ID Type / Status
Subject Pablo Vierci E394564 entity
Predicate authorOf P4244 FINISHED
Object La vida por un sueño E1202985 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: La vida por un sueño | Statement: [Pablo Vierci, authorOf, La vida por un sueño]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La vida por un sueño
Context triple: [Pablo Vierci, authorOf, La vida por un sueño]
  • A. La vida por un sueño chosen
    La vida por un sueño is a literary work by Uruguayan writer and journalist Pablo Vierci, known for its reflective and humanistic exploration of personal and social themes.
  • B. Il barbiere di Siviglia
    Il barbiere di Siviglia is a celebrated comic opera by Gioachino Rossini, renowned for its lively music, witty plot, and enduring popularity in the operatic repertoire.
  • C. Carmen
    Carmen is a supporting character in Jim Jarmusch’s film "Broken Flowers," connected to the protagonist’s journey to revisit women from his past.
  • D. Carmen
    Carmen is a central character in the 2012 Spanish silent film "Blancanieves," a dark, flamenco-infused reimagining of the Snow White fairy tale.
  • E. Carmen
    Carmen is the central protagonist of the story "Abracadabra," around whom the plot and character dynamics revolve.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24598c9488190a92df7d8b1824724 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017b1e22c8190bddca67661121c2d completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:04 a.m.