Triple
T815278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Librarians (TV series) |
E17639
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Marc Roskin
Marc Roskin is a television producer and director best known for his work on genre and adventure series such as "The Librarians."
|
E214600
|
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: Marc Roskin | Statement: [The Librarians (TV series), executiveProducer, Marc Roskin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marc Roskin Context triple: [The Librarians (TV series), executiveProducer, Marc Roskin]
-
A.
Mark Rosner
Mark Rosner is a screenwriter best known for co-writing the 1996 action film "The Rock."
-
B.
Sam Zussman
Sam Zussman is a sports and media executive who serves as a top business leader for the NBA’s Brooklyn Nets organization.
-
C.
Jon Rubinstein
Jon Rubinstein is an American computer engineer and executive best known for his key role in developing Apple's iPod and later leading Palm as CEO.
-
D.
Michael Rosenberg
Michael Rosenberg is a television producer and executive known for his work on the Western drama series "Hell on Wheels."
-
E.
Jay Bienstock
Jay Bienstock is a television producer best known for his work on major reality competition series, including serving as an executive producer on "The Apprentice."
- 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: Marc Roskin Triple: [The Librarians (TV series), executiveProducer, Marc Roskin]
Generated description
Marc Roskin is a television producer and director best known for his work on genre and adventure series such as "The Librarians."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marc Roskin Target entity description: Marc Roskin is a television producer and director best known for his work on genre and adventure series such as "The Librarians."
-
A.
Mark Rosner
Mark Rosner is a screenwriter best known for co-writing the 1996 action film "The Rock."
-
B.
Sam Zussman
Sam Zussman is a sports and media executive who serves as a top business leader for the NBA’s Brooklyn Nets organization.
-
C.
Jon Rubinstein
Jon Rubinstein is an American computer engineer and executive best known for his key role in developing Apple's iPod and later leading Palm as CEO.
-
D.
Michael Rosenberg
Michael Rosenberg is a television producer and executive known for his work on the Western drama series "Hell on Wheels."
-
E.
Jay Bienstock
Jay Bienstock is a television producer best known for his work on major reality competition series, including serving as an executive producer on "The Apprentice."
- 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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab5157b08190b6c8f2fd455f261e |
completed | March 1, 2026, 9:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3a24d9c8190926a3946a89105e1 |
completed | March 8, 2026, 10:09 p.m. |
| NEDg | Description generation | batch_69adf431c3a88190971f61d53c2bad2e |
completed | March 8, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adf4bdb6dc8190964e5e78abfb8e40 |
completed | March 8, 2026, 10:14 p.m. |
Created at: March 1, 2026, 7:38 p.m.