Triple
T3672684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Groundhog Day |
E77915
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Danny Rubin
Danny Rubin is an American screenwriter best known for co-writing the acclaimed 1993 comedy film "Groundhog Day."
|
E395768
|
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: Danny Rubin | Statement: [Groundhog Day, screenwriter, Danny Rubin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danny Rubin Context triple: [Groundhog Day, screenwriter, Danny Rubin]
-
A.
Jason Rubin
Jason Rubin is an American video game designer and co-founder of Naughty Dog, best known for his work on the Crash Bandicoot series.
-
B.
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.
-
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.
David Scott Rubin
David Scott Rubin is a film producer best known for his work on the comedy movie "Soul Plane."
-
E.
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.
- 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: Danny Rubin Triple: [Groundhog Day, screenwriter, Danny Rubin]
Generated description
Danny Rubin is an American screenwriter best known for co-writing the acclaimed 1993 comedy film "Groundhog Day."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Danny Rubin Target entity description: Danny Rubin is an American screenwriter best known for co-writing the acclaimed 1993 comedy film "Groundhog Day."
-
A.
Jason Rubin
Jason Rubin is an American video game designer and co-founder of Naughty Dog, best known for his work on the Crash Bandicoot series.
-
B.
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.
-
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.
David Scott Rubin
David Scott Rubin is a film producer best known for his work on the comedy movie "Soul Plane."
-
E.
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.
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc42f82548190b4d5f0fe7250decb |
completed | March 8, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5120849188190bea912ed14f90bf3 |
completed | March 14, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69b515ef57b08190b733f341421f3854 |
completed | March 14, 2026, 8:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5164130d88190bfc4681c3368a1a1 |
completed | March 14, 2026, 8:03 a.m. |
Created at: March 8, 2026, 3:25 p.m.