Triple

T6464886
Position Surface form Disambiguated ID Type / Status
Subject The Josephine Baker Story E142208 entity
Predicate producer P490 FINISHED
Object Brian Eastman
Brian Eastman is a British film and television producer known for his work on acclaimed dramas and adaptations, including "The Josephine Baker Story."
E593558 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: Brian Eastman | Statement: [The Josephine Baker Story, producer, Brian Eastman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Eastman
Context triple: [The Josephine Baker Story, producer, Brian Eastman]
  • A. Mike Kellin
    Mike Kellin was an American character actor known for his prolific work in film, television, and theater from the 1950s through the 1970s.
  • B. Alex Pall
    Alex Pall is an American DJ and music producer best known as one half of the electronic music duo The Chainsmokers.
  • C. Lee Eastman
    Lee Eastman was an American entertainment lawyer best known for representing and advising Paul McCartney and other prominent musicians.
  • D. Craig Bierko
    Craig Bierko is an American actor known for his work in film, television, and theater, often playing charismatic or villainous roles.
  • E. Daniel Lapaine
    Daniel Lapaine is an Australian actor known for his roles in films such as "Muriel's Wedding" and appearances in television series including "Black Mirror."
  • 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: Brian Eastman
Triple: [The Josephine Baker Story, producer, Brian Eastman]
Generated description
Brian Eastman is a British film and television producer known for his work on acclaimed dramas and adaptations, including "The Josephine Baker Story."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brian Eastman
Target entity description: Brian Eastman is a British film and television producer known for his work on acclaimed dramas and adaptations, including "The Josephine Baker Story."
  • A. Mike Kellin
    Mike Kellin was an American character actor known for his prolific work in film, television, and theater from the 1950s through the 1970s.
  • B. Alex Pall
    Alex Pall is an American DJ and music producer best known as one half of the electronic music duo The Chainsmokers.
  • C. Lee Eastman
    Lee Eastman was an American entertainment lawyer best known for representing and advising Paul McCartney and other prominent musicians.
  • D. Craig Bierko
    Craig Bierko is an American actor known for his work in film, television, and theater, often playing charismatic or villainous roles.
  • E. Daniel Lapaine
    Daniel Lapaine is an Australian actor known for his roles in films such as "Muriel's Wedding" and appearances in television series including "Black Mirror."
  • 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_69c008d3bf4c8190bcf798c5ba9d6fb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06a10305081909521ee200cf70a30 completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bea685c8190ad647a61b6e969e5 completed March 27, 2026, 9:20 a.m.
NEDg Description generation batch_69c64d5f8dcc81908dc15e75acac8d16 completed March 27, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69c64dcfe90c819080dfc48240068d37 completed March 27, 2026, 9:28 a.m.
Created at: March 22, 2026, 4:49 p.m.