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.