Triple

T9629870
Position Surface form Disambiguated ID Type / Status
Subject W. D. Richter E232569 entity
Predicate notableWork P4 FINISHED
Object Brubaker
Brubaker is a 1980 American prison drama film starring Robert Redford that exposes corruption and abuse within a state penitentiary system.
 E810623 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: Brubaker | Statement: [W. D. Richter, notableWork, Brubaker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brubaker
Context triple: [W. D. Richter, notableWork, Brubaker]
  • A. Bader
    Bader is the maiden surname of Ruth Bader Ginsburg, the late U.S. Supreme Court Justice and pioneering advocate for gender equality.
  • B. Bromfman
    Bromfman is a surname most notably associated with Brazilian composer and music producer Pedro Bromfman, known for his work on film and television scores.
  • C. Brisker
    Brisker is a surname most notably associated with John Brisker, an American professional basketball player who mysteriously disappeared in the 1970s.
  • D. Brodinski
    Brodinski is a French DJ and electronic music producer known for his dark, techno-influenced sound and role in shaping the modern French electronic and club scene.
  • E. Krieger
    Krieger is a surname of German origin borne by various notable individuals across fields such as technology, music, and academia.
  • 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: Brubaker
Triple: [W. D. Richter, notableWork, Brubaker]
Generated description
Brubaker is a 1980 American prison drama film starring Robert Redford that exposes corruption and abuse within a state penitentiary system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brubaker
Target entity description: Brubaker is a 1980 American prison drama film starring Robert Redford that exposes corruption and abuse within a state penitentiary system.
  • A. Bader
    Bader is the maiden surname of Ruth Bader Ginsburg, the late U.S. Supreme Court Justice and pioneering advocate for gender equality.
  • B. Bromfman
    Bromfman is a surname most notably associated with Brazilian composer and music producer Pedro Bromfman, known for his work on film and television scores.
  • C. Brisker
    Brisker is a surname most notably associated with John Brisker, an American professional basketball player who mysteriously disappeared in the 1970s.
  • D. Brodinski
    Brodinski is a French DJ and electronic music producer known for his dark, techno-influenced sound and role in shaping the modern French electronic and club scene.
  • E. Krieger
    Krieger is a surname of German origin borne by various notable individuals across fields such as technology, music, and academia.
  • 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_69ca848793ec8190a93a12383a754dc0 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b01863c8190a9ec4684804f96bc completed April 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1798bf4f081908fd3731783e441c1 completed April 4, 2026, 8:50 p.m.
NEDg Description generation batch_69d17bf818208190b34f8475b013829a completed April 4, 2026, 9 p.m.
NED2 Entity disambiguation (via description) batch_69d17c597c608190b7a589e3781dc9dd completed April 4, 2026, 9:02 p.m.
Created at: March 30, 2026, 8:10 p.m.