Triple

T18734790
Position Surface form Disambiguated ID Type / Status
Subject Willis, Texas E458131 entity
Predicate namedAfter P63 FINISHED
Object Peter J. Willis
Peter J. Willis was a prominent figure in Texas history whose influence and legacy were significant enough that the city of Willis, Texas, was named in his honor.
 E1362130 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: Peter J. Willis | Statement: [Willis, Texas, namedAfter, Peter J. Willis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peter J. Willis
Context triple: [Willis, Texas, namedAfter, Peter J. Willis]
  • A. Michael T. Williamson
    Michael T. Williamson is an American actor best known for his role as Benjamin Buford "Bubba" Blue in the film Forrest Gump.
  • B. R. Stephen Wiles
    R. Stephen Wiles is an actor known for his role in the Western film "Tin Star."
  • C. David C. Wilson
    David C. Wilson is a screenwriter best known for co-writing the script for the 2015 spy film adaptation of "The Man from U.N.C.L.E."
  • D. Stephen T. Wright
    Stephen T. Wright is an architect best known for his work on major commercial skyscrapers such as Chicago’s Two Prudential Plaza.
  • E. Peter A. Tyrrell
    Peter A. Tyrrell was an American sports executive and promoter best known for his role in establishing and developing the early professional basketball franchise that became the Philadelphia Warriors.
  • 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: Peter J. Willis
Triple: [Willis, Texas, namedAfter, Peter J. Willis]
Generated description
Peter J. Willis was a prominent figure in Texas history whose influence and legacy were significant enough that the city of Willis, Texas, was named in his honor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peter J. Willis
Target entity description: Peter J. Willis was a prominent figure in Texas history whose influence and legacy were significant enough that the city of Willis, Texas, was named in his honor.
  • A. Michael T. Williamson
    Michael T. Williamson is an American actor best known for his role as Benjamin Buford "Bubba" Blue in the film Forrest Gump.
  • B. R. Stephen Wiles
    R. Stephen Wiles is an actor known for his role in the Western film "Tin Star."
  • C. David C. Wilson
    David C. Wilson is a screenwriter best known for co-writing the script for the 2015 spy film adaptation of "The Man from U.N.C.L.E."
  • D. Stephen T. Wright
    Stephen T. Wright is an architect best known for his work on major commercial skyscrapers such as Chicago’s Two Prudential Plaza.
  • E. Peter A. Tyrrell
    Peter A. Tyrrell was an American sports executive and promoter best known for his role in establishing and developing the early professional basketball franchise that became the Philadelphia Warriors.
  • 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d7a06788190a8e09c657aaeb8e5 completed April 20, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f896e9b48190a1117018dcd3add3 completed May 15, 2026, 10:42 a.m.
NEDg Description generation batch_6a06f948932c8190a4ce08178c00b251 completed May 15, 2026, 10:45 a.m.
NED2 Entity disambiguation (via description) batch_6a06f9e1fb708190958c64fd38d32d04 completed May 15, 2026, 10:48 a.m.
Created at: April 10, 2026, 11:51 a.m.