Triple

T10101927
Position Surface form Disambiguated ID Type / Status
Subject Schultz E216222 entity
Predicate hasNotableBearer P458 FINISHED
Object William Schultz
William Schultz is a relatively common personal name shared by multiple individuals across various professions and public roles.
 E895779 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: William Schultz | Statement: [Schultz, hasNotableBearer, William Schultz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: William Schultz
Context triple: [Schultz, hasNotableBearer, William Schultz]
  • A. Duane Schuler
    Duane Schuler is an American theatrical lighting designer known for his work in opera, including major productions at leading opera houses.
  • B. Fred Schuler
    Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "Stir Crazy."
  • C. John Eisendrath
    John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
  • D. Al Schultz
    Al Schultz is a notable individual who shares the surname Schultz and has achieved enough recognition to be specifically distinguished by name.
  • E. John Masius
    John Masius is an American television writer and producer best known for creating and writing several popular drama series, including the spiritual drama "Touched by an Angel."
  • 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: William Schultz
Triple: [Schultz, hasNotableBearer, William Schultz]
Generated description
William Schultz is a relatively common personal name shared by multiple individuals across various professions and public roles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: William Schultz
Target entity description: William Schultz is a relatively common personal name shared by multiple individuals across various professions and public roles.
  • A. Duane Schuler
    Duane Schuler is an American theatrical lighting designer known for his work in opera, including major productions at leading opera houses.
  • B. Fred Schuler
    Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "Stir Crazy."
  • C. John Eisendrath
    John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
  • D. Al Schultz
    Al Schultz is a notable individual who shares the surname Schultz and has achieved enough recognition to be specifically distinguished by name.
  • E. John Masius
    John Masius is an American television writer and producer best known for creating and writing several popular drama series, including the spiritual drama "Touched by an Angel."
  • 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_69ca83d039f08190b9d10363221c69fb completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd099c21c819097aac4f0f168a2da completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23aeb6f9c8190a986af35bcf353f7 completed April 17, 2026, 1:51 p.m.
NEDg Description generation batch_69e2453f6f008190847298f4006290f7 completed April 17, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69e288b1d64c8190b31313634b706d0a completed April 17, 2026, 7:23 p.m.
Created at: March 30, 2026, 9:02 p.m.