Triple

T21680004
Position Surface form Disambiguated ID Type / Status
Subject Wardsville, Missouri E535076 entity
Predicate namedFor P63 FINISHED
Object John Ward
John Ward was an individual significant enough in local history that the town of Wardsville, Missouri, was named in his honor.
 E1496665 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: John Ward | Statement: [Wardsville, Missouri, namedFor, John Ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Ward
Context triple: [Wardsville, Missouri, namedFor, John Ward]
  • A. John Ward
    John Ward was an American statesman from South Carolina who served as a delegate to the Continental Congress during the Revolutionary era.
  • B. John Ward
    John Ward is an archaeologist and co-director of research at the ancient Egyptian site of Gebel el-Silsila.
  • C. John Ward
    John Ward is a musician best known for his role in the New York City rock band Elephant’s Memory, which was closely associated with John Lennon and Yoko Ono in the early 1970s.
  • D. John Ward
    John Ward is a cinematographer known for his work on the film "Final Cut."
  • E. Edward Ward
    Edward Ward was an American film composer best known for scoring numerous Hollywood films in the 1930s and 1940s.
  • 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: John Ward
Triple: [Wardsville, Missouri, namedFor, John Ward]
Generated description
John Ward was an individual significant enough in local history that the town of Wardsville, Missouri, was named in his honor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Ward
Target entity description: John Ward was an individual significant enough in local history that the town of Wardsville, Missouri, was named in his honor.
  • A. John Ward
    John Ward was an American statesman from South Carolina who served as a delegate to the Continental Congress during the Revolutionary era.
  • B. John Ward
    John Ward is an archaeologist and co-director of research at the ancient Egyptian site of Gebel el-Silsila.
  • C. John Ward
    John Ward is a musician best known for his role in the New York City rock band Elephant’s Memory, which was closely associated with John Lennon and Yoko Ono in the early 1970s.
  • D. John Ward
    John Ward is a cinematographer known for his work on the film "Final Cut."
  • E. Edward Ward
    Edward Ward was an American film composer best known for scoring numerous Hollywood films in the 1930s and 1940s.
  • 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_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef8a12adf08190b9b450eb26a1f33c completed April 27, 2026, 4:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a1e1c9ad48190b2216c0c168343ae completed May 17, 2026, 7:59 p.m.
NEDg Description generation batch_6a0a1eac9b648190881c97d474762fc0 completed May 17, 2026, 8:01 p.m.
NED2 Entity disambiguation (via description) batch_6a0a1f3b77488190bfb73b9e83446bb3 completed May 17, 2026, 8:04 p.m.
Created at: April 16, 2026, 6:43 p.m.