Triple

T13354549
Position Surface form Disambiguated ID Type / Status
Subject The Mauritanian E318653 entity
Predicate producer P490 FINISHED
Object Beatrice Levin
Beatrice Levin is a film producer known for her work on the legal drama thriller "The Mauritanian."
 E1058813 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: Beatrice Levin | Statement: [The Mauritanian, producer, Beatrice Levin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beatrice Levin
Context triple: [The Mauritanian, producer, Beatrice Levin]
  • A. Ruth Weinstein
    Ruth Weinstein is one of the children of disgraced American film producer Harvey Weinstein.
  • B. Leonore Cohn
    Leonore Cohn, later known as Leonore Annenberg, was an American philanthropist and arts patron who served as Chief of Protocol of the United States under President Ronald Reagan.
  • C. Rosa Levine-Meyer
    Rosa Levine-Meyer was a German socialist and revolutionary activist known for her involvement in left-wing politics during the early 20th century, including the revolutionary upheavals in Bavaria.
  • D. Helene Shapiro
    Helene Shapiro is an American mathematician known for her work in linear algebra and matrix theory, and as a student of Olga Taussky-Todd.
  • E. Irene Lewisohn
    Irene Lewisohn was an American arts patron and educator who played a key role in developing early 20th-century theater and dance training in New York City.
  • 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: Beatrice Levin
Triple: [The Mauritanian, producer, Beatrice Levin]
Generated description
Beatrice Levin is a film producer known for her work on the legal drama thriller "The Mauritanian."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beatrice Levin
Target entity description: Beatrice Levin is a film producer known for her work on the legal drama thriller "The Mauritanian."
  • A. Ruth Weinstein
    Ruth Weinstein is one of the children of disgraced American film producer Harvey Weinstein.
  • B. Leonore Cohn
    Leonore Cohn, later known as Leonore Annenberg, was an American philanthropist and arts patron who served as Chief of Protocol of the United States under President Ronald Reagan.
  • C. Rosa Levine-Meyer
    Rosa Levine-Meyer was a German socialist and revolutionary activist known for her involvement in left-wing politics during the early 20th century, including the revolutionary upheavals in Bavaria.
  • D. Helene Shapiro
    Helene Shapiro is an American mathematician known for her work in linear algebra and matrix theory, and as a student of Olga Taussky-Todd.
  • E. Irene Lewisohn
    Irene Lewisohn was an American arts patron and educator who played a key role in developing early 20th-century theater and dance training in New York City.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99f1ef94c81909a59b7c3f77d3335 completed April 11, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a83125d481908fe02cf85651a7bb completed May 3, 2026, 7:55 p.m.
NEDg Description generation batch_69f7a8f6833881908bcca35d7d01596a completed May 3, 2026, 7:58 p.m.
NED2 Entity disambiguation (via description) batch_69f7a9c3c6548190802e1163c9c35b67 completed May 3, 2026, 8:02 p.m.
Created at: April 9, 2026, 9:32 p.m.