Triple

T14188755
Position Surface form Disambiguated ID Type / Status
Subject Ludington, Michigan E351651 entity
Predicate namedAfter P63 FINISHED
Object James Ludington
James Ludington was a 19th-century American lumberman and land developer after whom the city of Ludington, Michigan, is named.
 E1203652 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: James Ludington | Statement: [Ludington, Michigan, namedAfter, James Ludington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: James Ludington
Context triple: [Ludington, Michigan, namedAfter, James Ludington]
  • A. Charles Worthington
    Charles Worthington is a British celebrity hairdresser and founder of the Charles Worthington haircare brand and salon chain.
  • B. George Hively
    George Hively was an American film editor and screenwriter active during the early 20th century, known for his work in Hollywood studio productions.
  • C. William Drinkard
    William Drinkard is a gospel singer best known as a member of the influential family group The Drinkard Singers, which helped shape mid-20th-century American gospel music.
  • D. William Girdler
    William Girdler was an American filmmaker best known for his low-budget horror and exploitation films of the 1970s.
  • E. John Judd
    John Judd is an American stage actor known for his extensive work in Chicago theater, particularly with the Steppenwolf Theatre Company.
  • 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: James Ludington
Triple: [Ludington, Michigan, namedAfter, James Ludington]
Generated description
James Ludington was a 19th-century American lumberman and land developer after whom the city of Ludington, Michigan, is named.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: James Ludington
Target entity description: James Ludington was a 19th-century American lumberman and land developer after whom the city of Ludington, Michigan, is named.
  • A. Charles Worthington
    Charles Worthington is a British celebrity hairdresser and founder of the Charles Worthington haircare brand and salon chain.
  • B. George Hively
    George Hively was an American film editor and screenwriter active during the early 20th century, known for his work in Hollywood studio productions.
  • C. William Drinkard
    William Drinkard is a gospel singer best known as a member of the influential family group The Drinkard Singers, which helped shape mid-20th-century American gospel music.
  • D. William Girdler
    William Girdler was an American filmmaker best known for his low-budget horror and exploitation films of the 1970s.
  • E. John Judd
    John Judd is an American stage actor known for his extensive work in Chicago theater, particularly with the Steppenwolf Theatre Company.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61de509881908967ef5031f2a8d9 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00179824c88190aeef28a08eb1a0c9 completed May 10, 2026, 5:28 a.m.
NEDg Description generation batch_6a00184a16e0819089dffbe23b88bdb3 completed May 10, 2026, 5:31 a.m.
NED2 Entity disambiguation (via description) batch_6a00190887088190a5a0eb2cfd674c98 completed May 10, 2026, 5:35 a.m.
Created at: April 10, 2026, 1:03 a.m.