Triple

T22278120
Position Surface form Disambiguated ID Type / Status
Subject Van Meter, Iowa E550657 entity
Predicate hasLocalLegend P1582 FINISHED
Object Van Meter Visitor
The Van Meter Visitor is a legendary winged cryptid said to have terrorized the town of Van Meter, Iowa, in 1903 with its towering size, glowing horn, and eerie nocturnal appearances.
E1529011 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: Van Meter Visitor | Statement: [Van Meter, Iowa, hasLocalLegend, Van Meter Visitor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Van Meter Visitor
Context triple: [Van Meter, Iowa, hasLocalLegend, Van Meter Visitor]
  • A. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • B. Parmer
    Parmer is a surname and place name that serves as a variant spelling of Palmer.
  • C. Ebersole
    Ebersole is a surname most notably associated with American actress and singer Christine Ebersole.
  • D. Willart
    Willart is a given name or surname that functions as a variant spelling of Willard.
  • E. Montignez
    Montignez is a small former municipality in the canton of Jura in northwestern Switzerland, near the French border.
  • 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: Van Meter Visitor
Triple: [Van Meter, Iowa, hasLocalLegend, Van Meter Visitor]
Generated description
The Van Meter Visitor is a legendary winged cryptid said to have terrorized the town of Van Meter, Iowa, in 1903 with its towering size, glowing horn, and eerie nocturnal appearances.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Van Meter Visitor
Target entity description: The Van Meter Visitor is a legendary winged cryptid said to have terrorized the town of Van Meter, Iowa, in 1903 with its towering size, glowing horn, and eerie nocturnal appearances.
  • A. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • B. Parmer
    Parmer is a surname and place name that serves as a variant spelling of Palmer.
  • C. Ebersole
    Ebersole is a surname most notably associated with American actress and singer Christine Ebersole.
  • D. Willart
    Willart is a given name or surname that functions as a variant spelling of Willard.
  • E. Montignez
    Montignez is a small former municipality in the canton of Jura in northwestern Switzerland, near the French border.
  • 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_69e11e44d538819097c6b8f333af3352 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea96948819081c1ae6c7b11ab62 completed April 29, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0abca612008190bcb1c38523223ed7 completed May 18, 2026, 7:15 a.m.
NEDg Description generation batch_6a0ac0d258d88190a73427e02373a4bc completed May 18, 2026, 7:33 a.m.
NED2 Entity disambiguation (via description) batch_6a0ac1e9666c8190b183c069deaf487c completed May 18, 2026, 7:38 a.m.
Created at: April 16, 2026, 8:40 p.m.