Triple
T18487593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brasyl |
E451729
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Marcelina
Marcelina is a central character in Ian McDonald's science fiction novel "Brasyl," set within its intricate, multi-timeline narrative in Brazil.
|
E1328067
|
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: Marcelina | Statement: [Brasyl, hasCharacter, Marcelina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marcelina Context triple: [Brasyl, hasCharacter, Marcelina]
-
A.
Antonina
Antonina is one of the three central women whose intertwined personal and professional lives are followed over several decades in the Soviet drama film "Moscow Does Not Believe in Tears."
-
B.
Antonina
Antonina is a historical novel by Wilkie Collins set in ancient Rome during the Gothic siege of the city.
-
C.
Antonina
Antonina was a prominent Byzantine noblewoman and influential wife of the famed general Belisarius, noted for her political acumen and close association with Empress Theodora in the 6th century.
-
D.
Eugénia
Eugénia is a given name, commonly used in Portuguese and other Romance languages, that is a variant of the name Eugenia.
-
E.
Marcela
Marcela is one of the given names of Alexia Juliana Marcela Laurentien, a member of the Dutch royal family.
- 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: Marcelina Triple: [Brasyl, hasCharacter, Marcelina]
Generated description
Marcelina is a central character in Ian McDonald's science fiction novel "Brasyl," set within its intricate, multi-timeline narrative in Brazil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marcelina Target entity description: Marcelina is a central character in Ian McDonald's science fiction novel "Brasyl," set within its intricate, multi-timeline narrative in Brazil.
-
A.
Antonina
Antonina was a prominent Byzantine noblewoman and influential wife of the famed general Belisarius, noted for her political acumen and close association with Empress Theodora in the 6th century.
-
B.
Antonina
Antonina is one of the three central women whose intertwined personal and professional lives are followed over several decades in the Soviet drama film "Moscow Does Not Believe in Tears."
-
C.
Antonina
Antonina is a historical novel by Wilkie Collins set in ancient Rome during the Gothic siege of the city.
-
D.
Eugénia
Eugénia is a given name, commonly used in Portuguese and other Romance languages, that is a variant of the name Eugenia.
-
E.
Marcela
Marcela is one of the given names of Alexia Juliana Marcela Laurentien, a member of the Dutch royal family.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531d7e79c819083bf5c54faaa4810 |
completed | April 19, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a04713836f88190a331f7ad6a577d32 |
completed | May 13, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_6a0472343abc819080eb1596cf53f220 |
completed | May 13, 2026, 12:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04739589d48190a6da4d5f63b7272c |
completed | May 13, 2026, 12:50 p.m. |
Created at: April 10, 2026, 11:35 a.m.