Triple
T691379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Andy Griffith Show |
E13799
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Aaron Ruben
Aaron Ruben was an American television producer, director, and writer best known for his influential work on classic sitcoms such as The Andy Griffith Show.
|
E115416
|
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 Ruben | Statement: [The Andy Griffith Show, creator, Aaron Ruben]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aaron Ruben Context triple: [The Andy Griffith Show, creator, Aaron Ruben]
-
A.
David Rubin
David Rubin is one of the children of pioneering American astronomer Vera Rubin, known for her groundbreaking work on galaxy rotation curves and dark matter.
-
B.
Ryan Roslansky
Ryan Roslansky is the CEO of LinkedIn, known for leading the professional networking platform’s product and business strategy.
-
C.
Sam Zussman
Sam Zussman is a sports and media executive who serves as a top business leader for the NBA’s Brooklyn Nets organization.
-
D.
Matt Weitzman
Matt Weitzman is an American television writer and producer best known as a co-creator and executive producer of the animated series "American Dad!"
-
E.
Joshua Michael Stern
Joshua Michael Stern is an American film director and screenwriter known for helming biographical and dramatic feature films.
- 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 Ruben Triple: [The Andy Griffith Show, creator, Aaron Ruben]
Generated description
Aaron Ruben was an American television producer, director, and writer best known for his influential work on classic sitcoms such as The Andy Griffith Show.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aaron Ruben Target entity description: Aaron Ruben was an American television producer, director, and writer best known for his influential work on classic sitcoms such as The Andy Griffith Show.
-
A.
David Rubin
David Rubin is one of the children of pioneering American astronomer Vera Rubin, known for her groundbreaking work on galaxy rotation curves and dark matter.
-
B.
Ryan Roslansky
Ryan Roslansky is the CEO of LinkedIn, known for leading the professional networking platform’s product and business strategy.
-
C.
Sam Zussman
Sam Zussman is a sports and media executive who serves as a top business leader for the NBA’s Brooklyn Nets organization.
-
D.
Matt Weitzman
Matt Weitzman is an American television writer and producer best known as a co-creator and executive producer of the animated series "American Dad!"
-
E.
Joshua Michael Stern
Joshua Michael Stern is an American film director and screenwriter known for helming biographical and dramatic feature films.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0aebde88190a49d421477713103 |
completed | March 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac1ccab5bc819099c0f060147c8f27 |
completed | March 7, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_69ac1d5960408190bf7dd3b8b64709db |
completed | March 7, 2026, 12:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac1dc56f7481909eb1ffb6b24db39f |
completed | March 7, 2026, 12:44 p.m. |
Created at: March 1, 2026, 7:36 p.m.