Triple

T14752173
Position Surface form Disambiguated ID Type / Status
Subject Foxcatcher E346636 entity
Predicate mainSubject P3 FINISHED
Object Mark Schultz
Mark Schultz is an American Olympic gold medal–winning wrestler whose life and career were dramatized in the film "Foxcatcher."
E1117400 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: Mark Schultz | Statement: [Foxcatcher, mainSubject, Mark Schultz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Schultz
Context triple: [Foxcatcher, mainSubject, Mark Schultz]
  • A. Mark Schultz
    Mark Schultz is an American singer-songwriter known for his contemporary Christian music and inspirational storytelling through songs.
  • B. Kirk Schulz
    Kirk Schulz is an American academic leader and engineer who serves as the president of Washington State University.
  • C. David William Schultz
    David William Schultz was a celebrated American freestyle wrestler and Olympic gold medalist renowned for his technical skill and later tragically murdered by John du Pont.
  • D. Jake Schulze
    Jake Schulze is a music producer best known for his work on Britney Spears' hit album "Oops!... I Did It Again."
  • E. Ken Schretzmann
    Ken Schretzmann is a film editor known for his work on major animated features, including Guillermo del Toro's stop-motion adaptation of Pinocchio.
  • 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: Mark Schultz
Triple: [Foxcatcher, mainSubject, Mark Schultz]
Generated description
Mark Schultz is an American Olympic gold medal–winning wrestler whose life and career were dramatized in the film "Foxcatcher."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mark Schultz
Target entity description: Mark Schultz is an American Olympic gold medal–winning wrestler whose life and career were dramatized in the film "Foxcatcher."
  • A. Mark Schultz
    Mark Schultz is an American singer-songwriter known for his contemporary Christian music and inspirational storytelling through songs.
  • B. Kirk Schulz
    Kirk Schulz is an American academic leader and engineer who serves as the president of Washington State University.
  • C. David William Schultz
    David William Schultz was a celebrated American freestyle wrestler and Olympic gold medalist renowned for his technical skill and later tragically murdered by John du Pont.
  • D. Jake Schulze
    Jake Schulze is a music producer best known for his work on Britney Spears' hit album "Oops!... I Did It Again."
  • E. Ken Schretzmann
    Ken Schretzmann is a film editor known for his work on major animated features, including Guillermo del Toro's stop-motion adaptation of Pinocchio.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d40efc8190bb1be34c19a2b57c completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb9a56a08190b6a178cd930a072d completed May 8, 2026, 3:04 p.m.
NEDg Description generation batch_69fdfde8ed30819083600cdac241675e completed May 8, 2026, 3:14 p.m.
NED2 Entity disambiguation (via description) batch_69fdfe969a6081908f4ebec0f6538811 completed May 8, 2026, 3:17 p.m.
Created at: April 10, 2026, 1:30 a.m.