Triple
T22390627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menudo |
E553500
|
entity |
| Predicate | hasInfluenced |
P9
|
FINISHED |
| Object |
Mercurio
Mercurio is a Latin American boy band modeled after and musically influenced by the pioneering teen pop group Menudo.
|
E1534620
|
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: Mercurio | Statement: [Menudo, hasInfluenced, Mercurio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mercurio Context triple: [Menudo, hasInfluenced, Mercurio]
-
A.
Mercuri
Mercuri is the surname of Brazilian singer, songwriter, and performer Daniela Mercury, a prominent figure in axé and pop music.
-
B.
Merkur
Merkur is a mountain in the Northern Black Forest of Germany, known for its scenic views, hiking trails, and historic funicular railway near the spa town of Baden-Baden.
-
C.
Merkur
Merkur was a short-lived automotive marque created by Ford in the 1980s to sell European-designed performance and luxury cars in the North American market.
-
D.
Mercury
Mercury was an American automobile marque of the Ford Motor Company known for producing mid-priced cars positioned between Ford and Lincoln.
-
E.
Mercury
Mercury is the Roman god of commerce, communication, and travel, often depicted as a swift messenger of the gods.
- 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: Mercurio Triple: [Menudo, hasInfluenced, Mercurio]
Generated description
Mercurio is a Latin American boy band modeled after and musically influenced by the pioneering teen pop group Menudo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mercurio Target entity description: Mercurio is a Latin American boy band modeled after and musically influenced by the pioneering teen pop group Menudo.
-
A.
Mercuri
Mercuri is the surname of Brazilian singer, songwriter, and performer Daniela Mercury, a prominent figure in axé and pop music.
-
B.
Merkur
Merkur was a short-lived automotive marque created by Ford in the 1980s to sell European-designed performance and luxury cars in the North American market.
-
C.
Merkur
Merkur is a mountain in the Northern Black Forest of Germany, known for its scenic views, hiking trails, and historic funicular railway near the spa town of Baden-Baden.
-
D.
Mercury
Mercury was an American automobile marque of the Ford Motor Company known for producing mid-priced cars positioned between Ford and Lincoln.
-
E.
Mercury
"Mercury" is an album by American rapper Khujo, known for its gritty Southern hip hop style and introspective lyricism.
- 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15859853c8190b849cb34a94106da |
completed | April 29, 2026, 1:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae9c00c4c819093f9eb6b95964a6a |
completed | May 18, 2026, 10:28 a.m. |
| NEDg | Description generation | batch_6a0aead9d9cc8190ba7445bb8707ccf4 |
completed | May 18, 2026, 10:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aeb6252248190a7cb0df06afd4db2 |
completed | May 18, 2026, 10:35 a.m. |
Created at: April 16, 2026, 8:45 p.m.