Triple
T3127856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hands On |
E65339
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Angel Lopez
Angel Lopez is a music producer known for his work on the project "Hands On."
|
E336347
|
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: Angel Lopez | Statement: [Hands On, producer, Angel Lopez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angel Lopez Context triple: [Hands On, producer, Angel Lopez]
-
A.
Angel Lopez
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. 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: Angel Lopez Triple: [Hands On, producer, Angel Lopez]
Generated description
Angel Lopez is a music producer known for his work on the project "Hands On."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Angel Lopez Target entity description: Angel Lopez is a music producer known for his work on the project "Hands On."
-
A.
Angel Lopez
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. 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_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_69b24b335d748190a70ca2e519792a62 |
completed | March 12, 2026, 5:12 a.m. |
| NEDg | Description generation | batch_69b24f48e9988190bacc8a1c4d923879 |
completed | March 12, 2026, 5:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b250599d088190915b2dbe3ba260d7 |
completed | March 12, 2026, 5:34 a.m. |
Created at: March 8, 2026, 3:04 p.m.