Triple

T21074215
Position Surface form Disambiguated ID Type / Status
Subject Ariano Suassuna E519188 entity
Predicate hasAdaptation P1690 FINISHED
Object Auto da Compadecida (film) NE NERFINISHED

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: Auto da Compadecida (film) | Statement: [Ariano Suassuna, hasAdaptation, Auto da Compadecida (film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Auto da Compadecida (film)
Context triple: [Ariano Suassuna, hasAdaptation, Auto da Compadecida (film)]
  • A. Auto da Compadecida chosen
    Auto da Compadecida is a celebrated Brazilian play that blends popular Northeastern folklore, humor, and religious themes to critique social injustice.
  • B. Pingo Doce
    Pingo Doce is a major Portuguese supermarket chain known for its nationwide network of grocery stores and competitive pricing.
  • C. Tico-Tico no Fubá
    Tico-Tico no Fubá is a famous Brazilian choro composition by Zequinha de Abreu, widely recognized as a lively instrumental standard in Latin American music.
  • D. Rua da Saudade
    Rua da Saudade is a historic, picturesque street in Lisbon’s old quarter, known for its traditional charm and views over the city.
  • E. O Bairro
    O Bairro is a celebrated literary work by Portuguese writer Gonçalo M. Tavares, known for its interconnected, philosophical stories set in a fictional neighborhood populated by eccentric characters.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b506e59c8190849b71ed07929215 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e702d5ae908190ab5303e39443d729 completed April 21, 2026, 4:53 a.m.
Created at: April 16, 2026, 2:48 p.m.