Triple
T19553868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paperwork |
E489257
|
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: [Paperwork, producer, Manny Marroquin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manny Marroquin Context triple: [Paperwork, 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.
Manny Coto
Manny Coto was an American television writer, director, and producer best known for his work on series such as 24, Dexter, and Star Trek: Enterprise.
-
C.
Roberto Morales
Roberto Morales is a film and television producer known for his work on the project "Vivir."
-
D.
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."
-
E.
Luis Maldonado
Luis Maldonado is a musician best known as a member of the alternative rock band The Kelley Deal 6000.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d3254548190828a5f7e9a851ef8 |
completed | April 20, 2026, 2:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08e038bca8819086f1c4bfaa0a588d |
completed | May 16, 2026, 9:23 p.m. |
Created at: April 10, 2026, 1:41 p.m.