Triple
T956798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narcos |
E20641
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Doug Miro |
E154396
|
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: Doug Miro | Statement: [Narcos, executiveProducer, Doug Miro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doug Miro Context triple: [Narcos, executiveProducer, Doug Miro]
-
A.
Doug Miro
chosen
Doug Miro is an American screenwriter and producer best known for co-creating the Netflix crime drama series "Narcos."
-
B.
Michael Nylander
Michael Nylander is a Swedish former professional ice hockey center who played over 900 NHL games and was known for his playmaking skills with teams such as the New York Rangers and Washington Capitals.
-
C.
Andrew Miano
Andrew Miano is an American film producer known for his work on independent and critically acclaimed movies, often collaborating with director Tom Ford and others.
-
D.
Mike Konopacki
Mike Konopacki is an American political cartoonist known for his labor- and social-justice-focused comics and graphic works.
-
E.
Chris Brancato
Chris Brancato is an American television writer and producer best known for his work on crime dramas, including co-creating the acclaimed Netflix series "Narcos."
- 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3f981bc819098125554eeeb6375 |
completed | March 1, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae02f0424481909c533774f0169ca7 |
completed | March 8, 2026, 11:14 p.m. |
Created at: March 1, 2026, 7:40 p.m.