Triple

T7992273
Position Surface form Disambiguated ID Type / Status
Subject Urbandale, Iowa E186036 entity
Predicate mayor P185 FINISHED
Object Bob Andeweg
Bob Andeweg is an American local government leader who has served as the longtime mayor of Urbandale, Iowa.
E731038 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: Bob Andeweg | Statement: [Urbandale, Iowa, mayor, Bob Andeweg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Andeweg
Context triple: [Urbandale, Iowa, mayor, Bob Andeweg]
  • A. Hendrik van der Meer
    Hendrik van der Meer is a person notable enough to be recognized as a bearer of the Dutch surname "van der Meer."
  • B. Johannes Hendrik Voskuijl
    Johannes Hendrik Voskuijl was the father of Bep Voskuijl and one of the Dutch helpers who risked his life to support Anne Frank and the others hiding in the Secret Annex during World War II.
  • C. Hendrik de Vries
    Hendrik de Vries was a mathematician who supervised and mentored the influential algebraist Bartel Leendert van der Waerden.
  • D. Jan van der Meer
    Jan van der Meer is a personal name shared by multiple individuals, typically of Dutch origin, rather than a single widely recognized public figure.
  • E. Piet de Jong
    Piet de Jong was a Dutch politician who served as Prime Minister of the Netherlands from 1967 to 1971.
  • 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: Bob Andeweg
Triple: [Urbandale, Iowa, mayor, Bob Andeweg]
Generated description
Bob Andeweg is an American local government leader who has served as the longtime mayor of Urbandale, Iowa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bob Andeweg
Target entity description: Bob Andeweg is an American local government leader who has served as the longtime mayor of Urbandale, Iowa.
  • A. Hendrik van der Meer
    Hendrik van der Meer is a person notable enough to be recognized as a bearer of the Dutch surname "van der Meer."
  • B. Johannes Hendrik Voskuijl
    Johannes Hendrik Voskuijl was the father of Bep Voskuijl and one of the Dutch helpers who risked his life to support Anne Frank and the others hiding in the Secret Annex during World War II.
  • C. Hendrik de Vries
    Hendrik de Vries was a mathematician who supervised and mentored the influential algebraist Bartel Leendert van der Waerden.
  • D. Jan van der Meer
    Jan van der Meer is a personal name shared by multiple individuals, typically of Dutch origin, rather than a single widely recognized public figure.
  • E. Piet de Jong
    Piet de Jong was a Dutch politician who served as Prime Minister of the Netherlands from 1967 to 1971.
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c712d0481908d163d2509d054fa completed March 31, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce01e53c4c81908cef500bc7f82b1c completed April 2, 2026, 5:43 a.m.
NEDg Description generation batch_69ce077d8af0819082a7ea67a2c11ddd completed April 2, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69ce082078108190867044f45bc0a806 completed April 2, 2026, 6:09 a.m.
Created at: March 30, 2026, 5:16 p.m.