Triple
T21293559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milton Nascimento |
E524856
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Travessia
Travessia is a celebrated Brazilian song by Milton Nascimento that helped establish him as a major figure in Música Popular Brasileira.
|
E1476706
|
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: Travessia | Statement: [Milton Nascimento, notableWork, Travessia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Travessia Context triple: [Milton Nascimento, notableWork, Travessia]
-
A.
Traverse
Traverse is a famously challenging, high-speed section of the Hahnenkamm downhill course in Kitzbühel, Austria, known for its demanding terrain and technical difficulty.
-
B.
Viagem
"Viagem" is a celebrated poetry collection by Brazilian writer Cecília Meireles, known for its lyrical introspection and central role in Brazilian modernist literature.
-
C.
Encruzilhada
Encruzilhada is a neighborhood in the city of Recife, Brazil, known for its busy commercial areas and urban residential character.
-
D.
Caminha
Caminha is a historic coastal town and municipality in northern Portugal, situated at the mouth of the Minho River near the Spanish border.
-
E.
Travers
Travers is a fictional English surname most notably borne by Aunt Dahlia in P. G. Wodehouse’s Jeeves and Wooster stories.
- 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: Travessia Triple: [Milton Nascimento, notableWork, Travessia]
Generated description
Travessia is a celebrated Brazilian song by Milton Nascimento that helped establish him as a major figure in Música Popular Brasileira.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Travessia Target entity description: Travessia is a celebrated Brazilian song by Milton Nascimento that helped establish him as a major figure in Música Popular Brasileira.
-
A.
Traverse
Traverse is a famously challenging, high-speed section of the Hahnenkamm downhill course in Kitzbühel, Austria, known for its demanding terrain and technical difficulty.
-
B.
Viagem
"Viagem" is a celebrated poetry collection by Brazilian writer Cecília Meireles, known for its lyrical introspection and central role in Brazilian modernist literature.
-
C.
Encruzilhada
Encruzilhada is a neighborhood in the city of Recife, Brazil, known for its busy commercial areas and urban residential character.
-
D.
Caminha
Caminha is a historic coastal town and municipality in northern Portugal, situated at the mouth of the Minho River near the Spanish border.
-
E.
Travers
Travers is a fictional English surname most notably borne by Aunt Dahlia in P. G. Wodehouse’s Jeeves and Wooster stories.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73856ba988190a8359efecea362cc |
completed | April 21, 2026, 8:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a099810106c8190a2ee5789bd0380c6 |
completed | May 17, 2026, 10:27 a.m. |
| NEDg | Description generation | batch_6a0998d6b37881908a1b09afc1f67746 |
completed | May 17, 2026, 10:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0999884e0481909b7ea54cd7ef87b5 |
completed | May 17, 2026, 10:33 a.m. |
Created at: April 16, 2026, 4:04 p.m.