Triple
T22464010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Super Seven |
E555302
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Raul Malo |
—
|
NE NERFINISHED |
How this triple was built (2 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: Raul Malo | Statement: [Los Super Seven, hasMember, Raul Malo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raul Malo Context triple: [Los Super Seven, hasMember, Raul Malo]
-
A.
Raul Malo
chosen
Raul Malo is an American singer, songwriter, and guitarist best known as the lead vocalist and creative force behind the genre-blending country band The Mavericks.
-
B.
Don Pulido
Don Pulido is a member of the Pulido family, a familial group whose individual histories and roles define its legacy.
-
C.
Kid Ramos
Kid Ramos is an American blues and roots rock guitarist known for his work with bands like The Fabulous Thunderbirds and for his fiery, vintage-tinged guitar style.
-
D.
Rey Villalobos
Rey Villalobos is an American cinematographer known for his work on numerous films and television projects, including the comedy classic "9 to 5."
-
E.
Michael Lira
Michael Lira is an Australian composer and musician known for his film and television scores, often blending experimental and atmospheric styles.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b819d24819084e9b1a7c596345a |
completed | April 29, 2026, 1:14 a.m. |
Created at: April 16, 2026, 8:48 p.m.