Triple

T938639
Position Surface form Disambiguated ID Type / Status
Subject Osvaldo Dorticós Torrado E20253 entity
Predicate described by source P519 FINISHED
Object Granma E59406 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: Granma | Statement: [Osvaldo Dorticós Torrado, described by source, Granma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Granma
Context triple: [Osvaldo Dorticós Torrado, described by source, Granma]
  • A. Granma chosen
    Granma is the official newspaper of the Communist Party of Cuba, known for disseminating government policies, political commentary, and state-approved news.
  • B. Doris
    Doris is an Oceanid from Greek mythology, known as the wife of the sea god Nereus and mother of the Nereids.
  • C. Chiquitita
    "Chiquitita" is a popular 1979 pop ballad by Swedish group ABBA, known for its uplifting melody and comforting lyrics about offering support in times of sadness.
  • D. Maggie
    Maggie is a common diminutive form of the given name Margaret, often used as a familiar or affectionate nickname.
  • E. Nana
    Nana is an 1880 naturalist novel by Émile Zola that follows the rise and fall of a Parisian courtesan as a critique of Second Empire society.
  • 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_69a493b0270c81909e6c9ce310f6aa55 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b74fc204819083dbed5c19c4bc15 completed March 1, 2026, 10:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826e0dd188190bf5776a6e4525fdd completed March 4, 2026, 12:34 p.m.
Created at: March 1, 2026, 7:40 p.m.