Triple

T10676948
Position Surface form Disambiguated ID Type / Status
Subject 8 Million Ways to Die E251644 entity
Predicate producer P490 FINISHED
Object Stephen J. Roth
Stephen J. Roth is a film producer best known for his work on the 1986 neo-noir crime thriller "8 Million Ways to Die."
 E941230 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: Stephen J. Roth | Statement: [8 Million Ways to Die, producer, Stephen J. Roth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stephen J. Roth
Context triple: [8 Million Ways to Die, producer, Stephen J. Roth]
  • A. Jay O. Rothman
    Jay O. Rothman is an American attorney and academic leader who serves as president of the University of Wisconsin System.
  • B. Richard A. Roth
    Richard A. Roth is an American film producer best known for his work on the 1986 crime thriller "Manhunter."
  • C. Robert G. Goldstein
    Robert G. Goldstein is an American business executive best known as the chief executive officer and a leading figure of the global casino and resort company Las Vegas Sands.
  • D. Evan A. Lottman
    Evan A. Lottman was an American film editor known for his work on acclaimed films including the adaptation of "Sophie's Choice."
  • E. J. David Siegel
    J. David Siegel is a film editor known for his work on major animated features, including the superhero comedy "DC League of Super-Pets."
  • 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: Stephen J. Roth
Triple: [8 Million Ways to Die, producer, Stephen J. Roth]
Generated description
Stephen J. Roth is a film producer best known for his work on the 1986 neo-noir crime thriller "8 Million Ways to Die."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stephen J. Roth
Target entity description: Stephen J. Roth is a film producer best known for his work on the 1986 neo-noir crime thriller "8 Million Ways to Die."
  • A. Jay O. Rothman
    Jay O. Rothman is an American attorney and academic leader who serves as president of the University of Wisconsin System.
  • B. Richard A. Roth
    Richard A. Roth is an American film producer best known for his work on the 1986 crime thriller "Manhunter."
  • C. Robert G. Goldstein
    Robert G. Goldstein is an American business executive best known as the chief executive officer and a leading figure of the global casino and resort company Las Vegas Sands.
  • D. Evan A. Lottman
    Evan A. Lottman was an American film editor known for his work on acclaimed films including the adaptation of "Sophie's Choice."
  • E. J. David Siegel
    J. David Siegel is a film editor known for his work on major animated features, including the superhero comedy "DC League of Super-Pets."
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fb9563908190a69cf4bd2c24fd2f completed April 9, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef8185c6e08190949020a80c24f2b8 completed April 27, 2026, 3:32 p.m.
NEDg Description generation batch_69ef96ab29d48190b225504856007384 completed April 27, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69efd64bfa7081909715aa64d80fadf3 completed April 27, 2026, 9:34 p.m.
Created at: April 8, 2026, 9:09 p.m.