Triple
T13303583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Amsterdam |
E316874
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Michael Slovis
Michael Slovis is an American cinematographer and television director known for his work on acclaimed series such as Breaking Bad and Game of Thrones.
|
E1036043
|
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: Michael Slovis | Statement: [New Amsterdam, executiveProducer, Michael Slovis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Slovis Context triple: [New Amsterdam, executiveProducer, Michael Slovis]
-
A.
Darius N. Couch
Darius N. Couch was a Union Army major general during the American Civil War, noted for his corps command in key Eastern Theater campaigns.
-
B.
Brandon Auman
Brandon Auman is a television writer and producer best known for his work on animated series, including serving as a key creative force behind Star Wars Resistance.
-
C.
Trent Olsen
Trent Olsen is an American former child actor and the older brother of actresses Mary-Kate, Ashley, and Elizabeth Olsen.
-
D.
Chris Stover
Chris Stover is a cinematographer known for his work on the animated racing film "Turbo."
-
E.
Matt Oberg
Matt Oberg is an American actor and comedian known for his work in television comedies and voice acting roles.
- 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: Michael Slovis Triple: [New Amsterdam, executiveProducer, Michael Slovis]
Generated description
Michael Slovis is an American cinematographer and television director known for his work on acclaimed series such as Breaking Bad and Game of Thrones.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Slovis Target entity description: Michael Slovis is an American cinematographer and television director known for his work on acclaimed series such as Breaking Bad and Game of Thrones.
-
A.
Darius N. Couch
Darius N. Couch was a Union Army major general during the American Civil War, noted for his corps command in key Eastern Theater campaigns.
-
B.
Brandon Auman
Brandon Auman is a television writer and producer best known for his work on animated series, including serving as a key creative force behind Star Wars Resistance.
-
C.
Trent Olsen
Trent Olsen is an American former child actor and the older brother of actresses Mary-Kate, Ashley, and Elizabeth Olsen.
-
D.
Chris Stover
Chris Stover is a cinematographer known for his work on the animated racing film "Turbo."
-
E.
Matt Oberg
Matt Oberg is an American actor and comedian known for his work in television comedies and voice acting roles.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a60eb08190bf0dc098ca7dc342 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7266a316c81908361acc75581f211 |
completed | May 3, 2026, 10:41 a.m. |
| NEDg | Description generation | batch_69f7270bf9308190a3e9427ffce0e3ee |
completed | May 3, 2026, 10:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f727d063c4819084b4990a0d759f79 |
completed | May 3, 2026, 10:47 a.m. |
Created at: April 9, 2026, 9:28 p.m.