Triple

T2129567
Position Surface form Disambiguated ID Type / Status
Subject Bulletproof Monk E46505 entity
Predicate producer P490 FINISHED
Object Douglas Segal
Douglas Segal is a film producer best known for his work on the action-comedy movie "Bulletproof Monk."
E338450 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: Douglas Segal | Statement: [Bulletproof Monk, producer, Douglas Segal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Douglas Segal
Context triple: [Bulletproof Monk, producer, Douglas Segal]
  • A. Douglas Shulman
    Douglas Shulman is an American public official who served as the head of the U.S. Internal Revenue Service (IRS) during the late 2000s and early 2010s.
  • B. Sanford Rothenberg
    Sanford Rothenberg was the second husband of actress Fay Wray, known primarily for his marriage to the iconic King Kong star.
  • C. Sol C. Siegel
    Sol C. Siegel was an American film producer known for overseeing numerous major Hollywood productions from the 1940s through the 1960s.
  • D. Stanley Saitowitz
    Stanley Saitowitz is a South African-born American architect known for his minimalist, modernist designs and influential work in contemporary urban architecture.
  • E. Norm Schachter
    Norm Schachter was a prominent American football official best known for serving as the referee in the first three Super Bowls.
  • 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: Douglas Segal
Triple: [Bulletproof Monk, producer, Douglas Segal]
Generated description
Douglas Segal is a film producer best known for his work on the action-comedy movie "Bulletproof Monk."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Douglas Segal
Target entity description: Douglas Segal is a film producer best known for his work on the action-comedy movie "Bulletproof Monk."
  • A. Douglas Shulman
    Douglas Shulman is an American public official who served as the head of the U.S. Internal Revenue Service (IRS) during the late 2000s and early 2010s.
  • B. Sanford Rothenberg
    Sanford Rothenberg was the second husband of actress Fay Wray, known primarily for his marriage to the iconic King Kong star.
  • C. Sol C. Siegel
    Sol C. Siegel was an American film producer known for overseeing numerous major Hollywood productions from the 1940s through the 1960s.
  • D. Stanley Saitowitz
    Stanley Saitowitz is a South African-born American architect known for his minimalist, modernist designs and influential work in contemporary urban architecture.
  • E. Norm Schachter
    Norm Schachter was a prominent American football official best known for serving as the referee in the first three Super Bowls.
  • 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_69a88a1626548190ae59a5028c3baa8e completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbb77ccc4819087bee5dbb91b5ae8 completed March 7, 2026, 5:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69b261af6c488190906432e93424c9d1 completed March 12, 2026, 6:48 a.m.
NEDg Description generation batch_69b264c2b3e88190bdfb33f12c318c70 completed March 12, 2026, 7:01 a.m.
NED2 Entity disambiguation (via description) batch_69b2689419808190adb9b69bf3185daf completed March 12, 2026, 7:17 a.m.
Created at: March 4, 2026, 7:44 p.m.