Triple

T17373849
Position Surface form Disambiguated ID Type / Status
Subject Álvaro Cunhal E422382 entity
Predicate notableWork P4 FINISHED
Object Até Amanhã, Camaradas NE NERFINISHED

How this triple was built (3 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: Até Amanhã, Camaradas | Statement: [Álvaro Cunhal, notableWork, Até Amanhã, Camaradas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Até Amanhã, Camaradas
Context triple: [Álvaro Cunhal, notableWork, Até Amanhã, Camaradas]
  • A. Dear Comrades!
    Dear Comrades! is a 2020 historical drama film by Russian director Andrei Konchalovsky that depicts the brutal suppression of a 1962 workers’ strike in the Soviet city of Novocherkassk.
  • B. Tovarisch, I Am Not Dead
    "Tovarisch, I Am Not Dead" is a documentary film by Stuart Urban that explores his father's harrowing experiences of survival and persecution in Soviet Russia during and after World War II.
  • C. Tovarishch
    Tovarishch was a Soviet training tall ship, originally built as the German sail training vessel Gorch Fock in 1933, later used for naval cadet instruction and international sailing events.
  • D. Stalsk‑12
    Stalsk‑12 is a secretive, heavily fortified Russian closed city that serves as the climactic battleground in Christopher Nolan’s film "Tenet."
  • E. The Comrade
    The Comrade was an influential early 20th-century Urdu-English political journal from British India that championed anti-colonial nationalism and Muslim political rights.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Até Amanhã, Camaradas
Target entity description: "Até Amanhã, Camaradas" is a novel by Portuguese communist leader Álvaro Cunhal that portrays the clandestine resistance against the Estado Novo dictatorship in mid-20th-century Portugal.
  • A. Dear Comrades!
    Dear Comrades! is a 2020 historical drama film by Russian director Andrei Konchalovsky that depicts the brutal suppression of a 1962 workers’ strike in the Soviet city of Novocherkassk.
  • B. Tovarisch, I Am Not Dead
    "Tovarisch, I Am Not Dead" is a documentary film by Stuart Urban that explores his father's harrowing experiences of survival and persecution in Soviet Russia during and after World War II.
  • C. Tovarishch
    Tovarishch was a Soviet training tall ship, originally built as the German sail training vessel Gorch Fock in 1933, later used for naval cadet instruction and international sailing events.
  • D. Stalsk‑12
    Stalsk‑12 is a secretive, heavily fortified Russian closed city that serves as the climactic battleground in Christopher Nolan’s film "Tenet."
  • E. The Comrade
    The Comrade was an influential early 20th-century Urdu-English political journal from British India that championed anti-colonial nationalism and Muslim political rights.
  • F. None of above. chosen

Provenance (2 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6b71148190bb10e1fac400d6c3 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:44 a.m.