Triple

T5115756
Position Surface form Disambiguated ID Type / Status
Subject The Kalief Browder Story E115329 entity
Predicate executiveProducer P7225 FINISHED
Object David Glasser
David Glasser is an American film and television producer and executive known for his work on high-profile projects including the documentary series "Time: The Kalief Browder Story."
E543712 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: David Glasser | Statement: [The Kalief Browder Story, executiveProducer, David Glasser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Glasser
Context triple: [The Kalief Browder Story, executiveProducer, David Glasser]
  • A. Martin Goldstein
    Martin Goldstein, nicknamed "Buggsy," was an American mobster and hitman associated with Murder, Inc. during the 1930s and 1940s.
  • B. David Saperstein
    David Saperstein is an American author best known for writing the science fiction novel "Cocoon," which was adapted into the popular 1985 film of the same name.
  • C. Guy Rothblum
    Guy Rothblum is a theoretical computer scientist known for his work in cryptography and complexity theory.
  • D. Dan Gershon
    Dan Gershon is known as the brother of American actress Gina Gershon.
  • E. Dan Greenburg
    Dan Greenburg is an American author and humorist best known for his satirical books and children's series such as "The Zack Files."
  • 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: David Glasser
Triple: [The Kalief Browder Story, executiveProducer, David Glasser]
Generated description
David Glasser is an American film and television producer and executive known for his work on high-profile projects including the documentary series "Time: The Kalief Browder Story."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: David Glasser
Target entity description: David Glasser is an American film and television producer and executive known for his work on high-profile projects including the documentary series "Time: The Kalief Browder Story."
  • A. Martin Goldstein
    Martin Goldstein, nicknamed "Buggsy," was an American mobster and hitman associated with Murder, Inc. during the 1930s and 1940s.
  • B. David Saperstein
    David Saperstein is an American author best known for writing the science fiction novel "Cocoon," which was adapted into the popular 1985 film of the same name.
  • C. Guy Rothblum
    Guy Rothblum is a theoretical computer scientist known for his work in cryptography and complexity theory.
  • D. Dan Gershon
    Dan Gershon is known as the brother of American actress Gina Gershon.
  • E. Dan Greenburg
    Dan Greenburg is an American author and humorist best known for his satirical books and children's series such as "The Zack Files."
  • 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_69bd4441d1648190a54a533895041987 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75ce6044819094166aebf0688665 completed March 20, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07d466cbc8190a91dcc0c26aba817 completed March 22, 2026, 11:37 p.m.
NEDg Description generation batch_69c0865e261c8190b54bec80ed6a9aaf completed March 23, 2026, 12:16 a.m.
NED2 Entity disambiguation (via description) batch_69c086b52dec8190bea2e13991389992 completed March 23, 2026, 12:17 a.m.
Created at: March 20, 2026, 1:41 p.m.