Triple
T16205207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mars (TV series) |
E393309
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Jonathan Silberberg
Jonathan Silberberg is a television producer best known for his executive production work on the National Geographic docudrama series "Mars."
|
E1294921
|
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: Jonathan Silberberg | Statement: [Mars (TV series), executiveProducer, Jonathan Silberberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Silberberg Context triple: [Mars (TV series), executiveProducer, Jonathan Silberberg]
-
A.
Adam Siegel
Adam Siegel is a film producer known for his work on action and genre movies, including the 2008 thriller "Wanted."
-
B.
Adam Siegel
Adam Siegel is a film producer known for working on major Hollywood action and crime movies, including the 2013 film "2 Guns."
-
C.
Jonathan Silverman
Jonathan Silverman is an American actor best known for his comedic roles in films like "Weekend at Bernie’s" and various television series.
-
D.
Josh Goldstein
Josh Goldstein is a screenwriter best known for co-writing the story for Disney’s adventure film "Jungle Cruise."
-
E.
Jonathan Zalben
Jonathan Zalben is a film and television composer known for scoring a variety of independent features and documentaries.
- 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: Jonathan Silberberg Triple: [Mars (TV series), executiveProducer, Jonathan Silberberg]
Generated description
Jonathan Silberberg is a television producer best known for his executive production work on the National Geographic docudrama series "Mars."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jonathan Silberberg Target entity description: Jonathan Silberberg is a television producer best known for his executive production work on the National Geographic docudrama series "Mars."
-
A.
Adam Siegel
Adam Siegel is a film producer known for his work on action and genre movies, including the 2008 thriller "Wanted."
-
B.
Adam Siegel
Adam Siegel is a film producer known for working on major Hollywood action and crime movies, including the 2013 film "2 Guns."
-
C.
Jonathan Silverman
Jonathan Silverman is an American actor best known for his comedic roles in films like "Weekend at Bernie’s" and various television series.
-
D.
Josh Goldstein
Josh Goldstein is a screenwriter best known for co-writing the story for Disney’s adventure film "Jungle Cruise."
-
E.
Jonathan Zalben
Jonathan Zalben is a film and television composer known for scoring a variety of independent features and documentaries.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2270d6e5c8190aee4bcca76cbe47c |
completed | April 17, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a031b0f51608190823a58d75c2a0ac4 |
completed | May 12, 2026, 12:20 p.m. |
| NEDg | Description generation | batch_6a031c0821dc8190bfa7860409f0e4a9 |
completed | May 12, 2026, 12:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a031cc67f7881908933c14a5386fb25 |
completed | May 12, 2026, 12:27 p.m. |
Created at: April 10, 2026, 5:03 a.m.