Triple
T3127652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Every Hour |
E65334
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Angel Lopez |
E330246
|
NE FINISHED |
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: Angel Lopez | Statement: [Every Hour, producer, Angel Lopez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angel Lopez Context triple: [Every Hour, producer, Angel Lopez]
-
A.
Angel Lopez
chosen
Angel Lopez is a music composer known for his work on the song "Every Hour."
-
B.
Rosa Diaz
Rosa Diaz is a tough, enigmatic, and fiercely loyal NYPD detective known for her deadpan humor and intimidating presence on the sitcom "Brooklyn Nine-Nine."
-
C.
Felicia Montealegre
Felicia Montealegre was a Chilean-Costa Rican actress and social activist best known as the wife of American composer and conductor Leonard Bernstein.
-
D.
Alex Alvarez
Alex Alvarez is a teenage character in the 2017 reboot of "One Day at a Time," known as the socially conscious, witty son in the Cuban-American Alvarez family.
-
E.
Nora Martinez
Nora Martinez is a brilliant epidemiologist and key member of the CDC team battling a vampiric plague in the horror television series "The Strain."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada546a6648190bc4bc3e599e6aa95 |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224d860dc819095a864619bc29411 |
completed | March 12, 2026, 2:28 a.m. |
Created at: March 8, 2026, 3:04 p.m.