Triple

T7729040
Position Surface form Disambiguated ID Type / Status
Subject Companhia das Letras E175203 entity
Predicate hasImprint P2763 FINISHED
Object Paralela
Paralela is a Brazilian publishing imprint of Companhia das Letras focused on contemporary, commercial, and pop literature.
E684277 NE FINISHED

How this triple was built (4 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: Paralela | Statement: [Companhia das Letras, hasImprint, Paralela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paralela
Context triple: [Companhia das Letras, hasImprint, Paralela]
  • A. Parallèlement
    Parallèlement is a poetry collection by French Symbolist poet Paul Verlaine, known for its musicality, sensual themes, and innovative use of verse.
  • B. Meantime
    Meantime is Helmet’s influential 1992 heavy metal album known for its precise, riff-driven sound and impact on alternative and post-hardcore music.
  • C. Meantime
    Meantime is a 1983 British television film directed by Mike Leigh that portrays the bleak lives of a working-class family in Thatcher-era London.
  • D. Otra
    Otra is a major river in southern Norway that flows through the Agder region to the city of Kristiansand before emptying into the Skagerrak.
  • E. The Esses
    The Esses is a challenging downhill sequence of tight, twisting corners at Mount Panorama Circuit that tests drivers' precision and car balance during the Bathurst 1000.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Paralela
Triple: [Companhia das Letras, hasImprint, Paralela]
Generated description
Paralela is a Brazilian publishing imprint of Companhia das Letras focused on contemporary, commercial, and pop literature.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Paralela
Target entity description: Paralela is a Brazilian publishing imprint of Companhia das Letras focused on contemporary, commercial, and pop literature.
  • A. Parallèlement
    Parallèlement is a poetry collection by French Symbolist poet Paul Verlaine, known for its musicality, sensual themes, and innovative use of verse.
  • B. Meantime
    Meantime is Helmet’s influential 1992 heavy metal album known for its precise, riff-driven sound and impact on alternative and post-hardcore music.
  • C. Meantime
    Meantime is a 1983 British television film directed by Mike Leigh that portrays the bleak lives of a working-class family in Thatcher-era London.
  • D. Otra
    Otra is a major river in southern Norway that flows through the Agder region to the city of Kristiansand before emptying into the Skagerrak.
  • E. The Esses
    The Esses is a challenging downhill sequence of tight, twisting corners at Mount Panorama Circuit that tests drivers' precision and car balance during the Bathurst 1000.
  • F. None of above. chosen

Provenance (5 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_69c6995e912c81909a49a2657103f786 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703170650819095a1b073d67d231d completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b52adf6481908cb78e7cc7c4266d completed March 29, 2026, 5:14 a.m.
NEDg Description generation batch_69c8b5e091048190a105cb6743a6d69d completed March 29, 2026, 5:17 a.m.
NED2 Entity disambiguation (via description) batch_69c8b68f44148190b08882625db98f96 completed March 29, 2026, 5:20 a.m.
Created at: March 27, 2026, 4:06 p.m.