Triple
T4626395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Deep End of the Ocean |
E101107
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Stephen Rubin
Stephen Rubin is a film producer best known for his work on the drama film "The Deep End of the Ocean."
|
E461684
|
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: Stephen Rubin | Statement: [The Deep End of the Ocean, producer, Stephen Rubin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Rubin Context triple: [The Deep End of the Ocean, producer, Stephen Rubin]
-
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.
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.
-
C.
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.
-
D.
Jeffrey Silver
Jeffrey Silver is a film producer known for his work on major Hollywood movies, including the science fiction action film "Terminator Salvation."
-
E.
Peter Seligmann
Peter Seligmann is an American environmentalist and business leader best known for co-founding and leading the global conservation organization Conservation International.
- 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: Stephen Rubin Triple: [The Deep End of the Ocean, producer, Stephen Rubin]
Generated description
Stephen Rubin is a film producer best known for his work on the drama film "The Deep End of the Ocean."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stephen Rubin Target entity description: Stephen Rubin is a film producer best known for his work on the drama film "The Deep End of the Ocean."
-
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.
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.
-
C.
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.
-
D.
Jeffrey Silver
Jeffrey Silver is a film producer known for his work on major Hollywood movies, including the science fiction action film "Terminator Salvation."
-
E.
Peter Seligmann
Peter Seligmann is an American environmentalist and business leader best known for co-founding and leading the global conservation organization Conservation International.
- 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a0a7b588190bc6552ee5babb198 |
completed | March 20, 2026, 2:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be0360f7548190b4d1c2e0e53985e8 |
completed | March 21, 2026, 2:33 a.m. |
| NEDg | Description generation | batch_69be0440e7c881908743b7af9b2fa347 |
completed | March 21, 2026, 2:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be04e0f1b08190b3e617150e34648c |
completed | March 21, 2026, 2:39 a.m. |
Created at: March 20, 2026, 1:13 p.m.