Triple
T21140751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Djavan |
E520918
|
entity |
| Predicate | notableAlbum |
P4
|
FINISHED |
| Object |
Luz (1982)
Luz (1982) is a critically acclaimed studio album by Brazilian singer-songwriter Djavan that blends MPB, jazz, and pop influences.
|
E1469316
|
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: Luz (1982) | Statement: [Djavan, notableAlbum, Luz (1982)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luz (1982) Context triple: [Djavan, notableAlbum, Luz (1982)]
-
A.
Drama y Luz
Drama y Luz is a studio album by the Mexican rock band Maná that showcases their signature Latin rock sound with emotive ballads and socially conscious themes.
-
B.
Luz Apagá
"Luz Apagá" is a song by Puerto Rican artist Ozuna from his acclaimed reggaeton and Latin trap album "Odisea."
-
C.
Los motivos de Luz
Los motivos de Luz is a Mexican drama film centered on a woman confronting personal and social struggles, noted for Ana Ofelia Murguía’s acclaimed performance.
-
D.
Luz
Luz is a major railway and metro hub in São Paulo, Brazil, serving as a key interchange point for multiple urban transit lines.
-
E.
Luz
Luz is a small coastal settlement on Graciosa Island in Portugal’s Azores archipelago.
- 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: Luz (1982) Triple: [Djavan, notableAlbum, Luz (1982)]
Generated description
Luz (1982) is a critically acclaimed studio album by Brazilian singer-songwriter Djavan that blends MPB, jazz, and pop influences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luz (1982) Target entity description: Luz (1982) is a critically acclaimed studio album by Brazilian singer-songwriter Djavan that blends MPB, jazz, and pop influences.
-
A.
Drama y Luz
Drama y Luz is a studio album by the Mexican rock band Maná that showcases their signature Latin rock sound with emotive ballads and socially conscious themes.
-
B.
Luz Apagá
"Luz Apagá" is a song by Puerto Rican artist Ozuna from his acclaimed reggaeton and Latin trap album "Odisea."
-
C.
Los motivos de Luz
Los motivos de Luz is a Mexican drama film centered on a woman confronting personal and social struggles, noted for Ana Ofelia Murguía’s acclaimed performance.
-
D.
Luz
Luz is a major railway and metro hub in São Paulo, Brazil, serving as a key interchange point for multiple urban transit lines.
-
E.
Luz
Luz is a small coastal settlement on Graciosa Island in Portugal’s Azores archipelago.
- 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.