Triple
T13072893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doo-Wops & Hooligans |
E329497
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Manny Marroquin |
E348355
|
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: Manny Marroquin | Statement: [Doo-Wops & Hooligans, producer, Manny Marroquin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manny Marroquin Context triple: [Doo-Wops & Hooligans, producer, Manny Marroquin]
-
A.
Manny Marroquin
chosen
Manny Marroquin is a renowned Grammy-winning mixing engineer known for his work with major artists across pop, hip-hop, and R&B.
-
B.
Hector Duran
Hector Duran is an American actor best known for his role as one of the young runners in the inspirational sports drama film "McFarland, USA."
-
C.
Juano Hernandez
Juano Hernandez was a pioneering Afro-Puerto Rican actor known for his powerful performances in mid-20th-century American cinema and for breaking racial barriers in Hollywood.
-
D.
Miguel Vargas
Miguel Vargas is the principled Mexican narcotics official portrayed by Charlton Heston in Orson Welles's classic film noir "Touch of Evil."
-
E.
Manny Rodriguez
Manny Rodriguez is a fictional character from the television series "The District," which follows the professional and personal lives of law enforcement officers in Washington, D.C.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d981160e388190bab942a2ded2903e |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a82efbb0819081c4eff91303de31 |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 9, 2026, 9 p.m.