Triple
T17248350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devs |
E418684
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Garret Basch
Garret Basch is a television producer best known for his work on acclaimed series such as "Devs."
|
E1316422
|
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: Garret Basch | Statement: [Devs, executiveProducer, Garret Basch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garret Basch Context triple: [Devs, executiveProducer, Garret Basch]
-
A.
David Alan Basche
David Alan Basche is an American actor known for his roles in film and television comedies and dramas, including romantic comedies and ensemble TV series.
-
B.
Alex Baskin
Alex Baskin is a television producer best known for creating and executive producing popular reality series, particularly in the unscripted and docu-soap genres.
-
C.
Josh Baskin
Josh Baskin is the young boy who magically becomes an adult overnight and navigates the adult world with childlike innocence in the film "Big."
-
D.
Andrew Braunsberg
Andrew Braunsberg is a film producer best known for his work on the acclaimed 1979 satirical comedy-drama "Being There."
-
E.
Johnny Gandelsman
Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
- 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: Garret Basch Triple: [Devs, executiveProducer, Garret Basch]
Generated description
Garret Basch is a television producer best known for his work on acclaimed series such as "Devs."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Garret Basch Target entity description: Garret Basch is a television producer best known for his work on acclaimed series such as "Devs."
-
A.
David Alan Basche
David Alan Basche is an American actor known for his roles in film and television comedies and dramas, including romantic comedies and ensemble TV series.
-
B.
Alex Baskin
Alex Baskin is a television producer best known for creating and executive producing popular reality series, particularly in the unscripted and docu-soap genres.
-
C.
Josh Baskin
Josh Baskin is the young boy who magically becomes an adult overnight and navigates the adult world with childlike innocence in the film "Big."
-
D.
Andrew Braunsberg
Andrew Braunsberg is a film producer best known for his work on the acclaimed 1979 satirical comedy-drama "Being There."
-
E.
Johnny Gandelsman
Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e2569c081908ffd3ee9c76bcc17 |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03bb3f07d0819085c04218705708fc |
completed | May 12, 2026, 11:43 p.m. |
| NEDg | Description generation | batch_6a03bbe8e5148190ac3f0c247455cac0 |
completed | May 12, 2026, 11:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03bc66f81c8190bd47405d92e6547e |
completed | May 12, 2026, 11:48 p.m. |
Created at: April 10, 2026, 5:39 a.m.