Triple
T14745447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frida |
E346456
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Jay Polstein
Jay Polstein is a film producer best known for his work on the biographical drama "Frida."
|
E1224974
|
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: Jay Polstein | Statement: [Frida, producer, Jay Polstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Polstein Context triple: [Frida, producer, Jay Polstein]
-
A.
Jeff Pollack
Jeff Pollack was an American film and television director, producer, and writer best known for his work on projects like the basketball drama "Above the Rim" and the sitcom "The Fresh Prince of Bel-Air."
-
B.
Michael Bluestein
Michael Bluestein is an American keyboardist and songwriter best known as a longtime member of the rock band Foreigner.
-
C.
Justin Jampol
Justin Jampol is an American historian and museum founder best known for establishing the Wende Museum, which focuses on preserving and interpreting Cold War-era art and artifacts.
-
D.
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.
-
E.
Sam Greisman
Sam Greisman is an American writer and director known publicly as the son of acclaimed actress Sally Field.
- 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: Jay Polstein Triple: [Frida, producer, Jay Polstein]
Generated description
Jay Polstein is a film producer best known for his work on the biographical drama "Frida."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jay Polstein Target entity description: Jay Polstein is a film producer best known for his work on the biographical drama "Frida."
-
A.
Jeff Pollack
Jeff Pollack was an American film and television director, producer, and writer best known for his work on projects like the basketball drama "Above the Rim" and the sitcom "The Fresh Prince of Bel-Air."
-
B.
Michael Bluestein
Michael Bluestein is an American keyboardist and songwriter best known as a longtime member of the rock band Foreigner.
-
C.
Justin Jampol
Justin Jampol is an American historian and museum founder best known for establishing the Wende Museum, which focuses on preserving and interpreting Cold War-era art and artifacts.
-
D.
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.
-
E.
Sam Greisman
Sam Greisman is an American writer and director known publicly as the son of acclaimed actress Sally Field.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d002708190a32a4a45e96fc389 |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007d960bd08190b8ac366273646865 |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007eaca31081909cc81e73af61f2f0 |
completed | May 10, 2026, 12:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007fde282c81909c9e7b210dd6e715 |
completed | May 10, 2026, 12:53 p.m. |
Created at: April 10, 2026, 1:30 a.m.