Triple
T13615498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MTV Video Music Brazil |
E325299
|
entity |
| Predicate | notablePerformer |
P17435
|
FINISHED |
| Object |
CPM 22
CPM 22 is a Brazilian punk rock band known for its energetic sound and popularity in the national rock scene.
|
E1051390
|
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: CPM 22 | Statement: [MTV Video Music Brazil, notablePerformer, CPM 22]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CPM 22 Context triple: [MTV Video Music Brazil, notablePerformer, CPM 22]
-
A.
CM22
CM22 is a UK postal district within the CM (Chelmsford) postcode area, covering parts of Essex including villages near Stansted Airport.
-
B.
CP24
CP24 is a Canadian 24-hour local news television channel based in Toronto, known for its continuous coverage of breaking news, traffic, and weather.
-
C.
CP Class 2240
CP Class 2240 is a series of electric multiple unit trains operated by Comboios de Portugal, commonly used for suburban and regional passenger services such as those in the Porto urban area.
-
D.
CB22
CB22 is a postcode district in the Cambridge area of Cambridgeshire, England, covering Harston and surrounding villages.
-
E.
MPK22
MPK22 is a major office building within Meta's Menlo Park headquarters campus, known for housing a significant portion of the company's workforce and operations.
- 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: CPM 22 Triple: [MTV Video Music Brazil, notablePerformer, CPM 22]
Generated description
CPM 22 is a Brazilian punk rock band known for its energetic sound and popularity in the national rock scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CPM 22 Target entity description: CPM 22 is a Brazilian punk rock band known for its energetic sound and popularity in the national rock scene.
-
A.
CM22
CM22 is a UK postal district within the CM (Chelmsford) postcode area, covering parts of Essex including villages near Stansted Airport.
-
B.
CP24
CP24 is a Canadian 24-hour local news television channel based in Toronto, known for its continuous coverage of breaking news, traffic, and weather.
-
C.
CP Class 2240
CP Class 2240 is a series of electric multiple unit trains operated by Comboios de Portugal, commonly used for suburban and regional passenger services such as those in the Porto urban area.
-
D.
CB22
CB22 is a postcode district in the Cambridge area of Cambridgeshire, England, covering Harston and surrounding villages.
-
E.
MPK22
MPK22 is a major office building within Meta's Menlo Park headquarters campus, known for housing a significant portion of the company's workforce and operations.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0ad0a7c81909c7972187202db96 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f9ecc2881909f71d71e056f9459 |
completed | May 3, 2026, 5:02 p.m. |
| NEDg | Description generation | batch_69f782c41634819096b0939c6c917259 |
completed | May 3, 2026, 5:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78366eca88190be313c3a1b1e23ff |
completed | May 3, 2026, 5:18 p.m. |
Created at: April 9, 2026, 9:50 p.m.