Triple

T8652132
Position Surface form Disambiguated ID Type / Status
Subject Odisea E205124 entity
Predicate hasTrack P3284 FINISHED
Object El Farsante E200808 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: El Farsante | Statement: [Odisea, hasTrack, El Farsante]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Farsante
Context triple: [Odisea, hasTrack, El Farsante]
  • A. El Farsante chosen
    "El Farsante" is a popular Latin urban song by Puerto Rican singer Ozuna, known for its romantic reggaeton style and widespread success across Spanish-speaking markets.
  • B. Il bugiardo
    Il bugiardo is a comedic play by Carlo Goldoni that satirizes deceit and social pretenses through the misadventures of an incorrigible liar.
  • C. The Book of Folly
    The Book of Folly is a 1972 poetry collection by Anne Sexton that explores themes of madness, mortality, and the female experience through her characteristic confessional style.
  • D. The Liar
    "The Liar" is a painting by African-American artist Archibald Motley that exemplifies his vivid, jazz-age depictions of Black urban life and social interaction.
  • E. The Liar
    "The Liar" is a comic novel by Stephen Fry that follows a brilliant but deceitful young man entangled in espionage, sexuality, and storytelling.
  • 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_69ca834e56848190abb0eeaec9dedd32 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc484051b48190b1d0cc63426c204d completed March 31, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccd1d7f88190a5440581325eac63 completed April 2, 2026, 8:08 p.m.
Created at: March 30, 2026, 6:29 p.m.