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.