Triple
T21140655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gal Costa |
E520916
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
Vapor Barato
"Vapor Barato" is a celebrated Brazilian song, widely recognized through Gal Costa’s powerful interpretation and associated with the Tropicália/MPB musical movement.
|
E1469295
|
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: Vapor Barato | Statement: [Gal Costa, notableSong, Vapor Barato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vapor Barato Context triple: [Gal Costa, notableSong, Vapor Barato]
-
A.
Vapors
"Vapors" is a song by American singer Jhené Aiko featured on her debut EP "Sail Out."
-
B.
Vapors
"Vapors" is a 1988 hip-hop song by Biz Markie, known for its storytelling about how people's attitudes change after someone becomes successful.
-
C.
Vapor
Vapor is a popular Bauer line of ice hockey equipment known for its lightweight, agile design tailored to quick, dynamic players.
-
D.
VAPO
VAPO is the ICAO airport code for Pune International Airport, a major civil and military air hub serving the city of Pune in Maharashtra, India.
-
E.
Volátil
Volátil is a conceptual installation artwork by Brazilian artist Cildo Meireles that immerses viewers in a room filled with the smell of gas to evoke tension, risk, and political unease.
- 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: Vapor Barato Triple: [Gal Costa, notableSong, Vapor Barato]
Generated description
"Vapor Barato" is a celebrated Brazilian song, widely recognized through Gal Costa’s powerful interpretation and associated with the Tropicália/MPB musical movement.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vapor Barato Target entity description: "Vapor Barato" is a celebrated Brazilian song, widely recognized through Gal Costa’s powerful interpretation and associated with the Tropicália/MPB musical movement.
-
A.
Vapors
"Vapors" is a song by American singer Jhené Aiko featured on her debut EP "Sail Out."
-
B.
Vapors
"Vapors" is a 1988 hip-hop song by Biz Markie, known for its storytelling about how people's attitudes change after someone becomes successful.
-
C.
Vapor
Vapor is a popular Bauer line of ice hockey equipment known for its lightweight, agile design tailored to quick, dynamic players.
-
D.
VAPO
VAPO is the ICAO airport code for Pune International Airport, a major civil and military air hub serving the city of Pune in Maharashtra, India.
-
E.
Volátil
Volátil is a conceptual installation artwork by Brazilian artist Cildo Meireles that immerses viewers in a room filled with the smell of gas to evoke tension, risk, and political unease.
- 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_69e0b50b53048190ae34e8abbe3c5ada |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7235f77708190809d6aa3ee8056aa |
completed | April 21, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a096dbc36d88190bfbb9083fac6a74e |
completed | May 17, 2026, 7:26 a.m. |
| NEDg | Description generation | batch_6a096e4d8a3c819087103e7c1090ee52 |
completed | May 17, 2026, 7:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09724c35f881909d48c9dd212b3c12 |
completed | May 17, 2026, 7:46 a.m. |
Created at: April 16, 2026, 2:57 p.m.