Triple

T21590227
Position Surface form Disambiguated ID Type / Status
Subject Walking with the Enemy E532758 entity
Predicate producer P490 FINISHED
Object Mark Schmidt
Mark Schmidt is a film producer best known for his work on the World War II drama "Walking with the Enemy."
 E1492034 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 Schmidt | Statement: [Walking with the Enemy, producer, Mark Schmidt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mark Schmidt
Context triple: [Walking with the Enemy, producer, Mark Schmidt]
  • A. Mark Schmidt
    Mark Schmidt is a film director best known for helming the World War II drama "Walking with the Enemy."
  • B. Matthew Schmidt
    Matthew Schmidt is a film editor best known for his work on major Marvel Cinematic Universe films, including Avengers: Infinity War.
  • C. Ted Schmidt
    Ted Schmidt is a fictional character from the television series "Queer as Folk," portrayed as a kind-hearted but insecure gay man navigating relationships, self-esteem, and community.
  • D. Mark Schlereth
    Mark Schlereth is a former NFL offensive lineman and three-time Super Bowl champion who became a prominent football analyst and television personality.
  • E. Jeremy Schmidt
    Jeremy Schmidt is a Canadian musician best known as the keyboardist for the psychedelic rock band Black Mountain.
  • 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 Schmidt
Triple: [Walking with the Enemy, producer, Mark Schmidt]
Generated description
Mark Schmidt is a film producer best known for his work on the World War II drama "Walking with the Enemy."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mark Schmidt
Target entity description: Mark Schmidt is a film producer best known for his work on the World War II drama "Walking with the Enemy."
  • A. Mark Schmidt chosen
    Mark Schmidt is a film director best known for helming the World War II drama "Walking with the Enemy."
  • B. Matthew Schmidt
    Matthew Schmidt is a film editor best known for his work on major Marvel Cinematic Universe films, including Avengers: Infinity War.
  • C. Ted Schmidt
    Ted Schmidt is a fictional character from the television series "Queer as Folk," portrayed as a kind-hearted but insecure gay man navigating relationships, self-esteem, and community.
  • D. Mark Schlereth
    Mark Schlereth is a former NFL offensive lineman and three-time Super Bowl champion who became a prominent football analyst and television personality.
  • E. Jeremy Schmidt
    Jeremy Schmidt is a Canadian musician best known as the keyboardist for the psychedelic rock band Black Mountain.
  • F. None of above.

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_69e0c46251648190876f0427cf2d321b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eefadd0ec88190929c76137bd1603e completed April 27, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09fd2f2fc88190a0a2da698bfa9bf4 completed May 17, 2026, 5:38 p.m.
NEDg Description generation batch_6a09fec81fec81908cccff4d82608185 completed May 17, 2026, 5:45 p.m.
NED2 Entity disambiguation (via description) batch_6a09ff46e1888190a4eea303492fb400 completed May 17, 2026, 5:47 p.m.
Created at: April 16, 2026, 6:32 p.m.