Triple
T13779958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Botched |
E331106
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Aaron Saidman
Aaron Saidman is a television producer and media executive known for creating and overseeing popular documentary and reality series.
|
E1102385
|
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: Aaron Saidman | Statement: [Botched, executiveProducer, Aaron Saidman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aaron Saidman Context triple: [Botched, executiveProducer, Aaron Saidman]
-
A.
Sam Greisman
Sam Greisman is an American writer and director known publicly as the son of acclaimed actress Sally Field.
-
B.
Neil Siegel
Neil Siegel is a prominent American legal scholar known for his work in constitutional law and theory, including the study of judicial behavior and the separation of powers.
-
C.
Steven Baigelman
Steven Baigelman is an American screenwriter and producer known for his work on biographical and crime dramas in film and television.
-
D.
Philip Andelman
Philip Andelman is an American music video and commercial director known for his work with major artists across pop and rock music.
-
E.
Ian Kahn
Ian Kahn is an American actor best known for playing George Washington on the television series "Turn: Washington's Spies."
- 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: Aaron Saidman Triple: [Botched, executiveProducer, Aaron Saidman]
Generated description
Aaron Saidman is a television producer and media executive known for creating and overseeing popular documentary and reality series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aaron Saidman Target entity description: Aaron Saidman is a television producer and media executive known for creating and overseeing popular documentary and reality series.
-
A.
Sam Greisman
Sam Greisman is an American writer and director known publicly as the son of acclaimed actress Sally Field.
-
B.
Neil Siegel
Neil Siegel is a prominent American legal scholar known for his work in constitutional law and theory, including the study of judicial behavior and the separation of powers.
-
C.
Steven Baigelman
Steven Baigelman is an American screenwriter and producer known for his work on biographical and crime dramas in film and television.
-
D.
Philip Andelman
Philip Andelman is an American music video and commercial director known for his work with major artists across pop and rock music.
-
E.
Ian Kahn
Ian Kahn is an American actor best known for playing George Washington on the television series "Turn: Washington's Spies."
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02460a688190a27874f8d35819c7 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d72a17c8190b63f9f441731917d |
completed | May 8, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69fd6de8b640819098adc7fb05acba7a |
completed | May 8, 2026, 5 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd6fadf9b0819086ef8ffec340d7c6 |
completed | May 8, 2026, 5:07 a.m. |
Created at: April 9, 2026, 10:11 p.m.