Triple

T2973389
Position Surface form Disambiguated ID Type / Status
Subject Heemstede E80335 entity
Predicate hasMayor P185 FINISHED
Object Astrid Nienhuis
Astrid Nienhuis is a Dutch politician who serves as the mayor of the municipality of Heemstede in the Netherlands.
E316925 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: Astrid Nienhuis | Statement: [Heemstede, hasMayor, Astrid Nienhuis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Astrid Nienhuis
Context triple: [Heemstede, hasMayor, Astrid Nienhuis]
  • A. Judith van Leeuwen
    Judith van Leeuwen was the wife of Dutch Golden Age painter and mezzotint engraver Jan Verkolje.
  • B. Anna van Egmond
    Anna van Egmond was a 16th-century Dutch noblewoman and heiress who became the first wife of William the Silent, Prince of Orange.
  • C. Iris Steensma
    Iris Steensma is the troubled teenage prostitute character from Martin Scorsese’s 1976 film "Taxi Driver," whose role became iconic through Jodie Foster’s acclaimed performance.
  • D. Sjoukje Ozinga
    Sjoukje Ozinga was the mother of Saskia van Uylenburgh, the Dutch woman best known as the wife and muse of painter Rembrandt van Rijn.
  • E. Maayke Velders
    Maayke Velders is known primarily as the spouse of Dutch naval hero Michiel de Ruyter.
  • 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: Astrid Nienhuis
Triple: [Heemstede, hasMayor, Astrid Nienhuis]
Generated description
Astrid Nienhuis is a Dutch politician who serves as the mayor of the municipality of Heemstede in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Astrid Nienhuis
Target entity description: Astrid Nienhuis is a Dutch politician who serves as the mayor of the municipality of Heemstede in the Netherlands.
  • A. Judith van Leeuwen
    Judith van Leeuwen was the wife of Dutch Golden Age painter and mezzotint engraver Jan Verkolje.
  • B. Anna van Egmond
    Anna van Egmond was a 16th-century Dutch noblewoman and heiress who became the first wife of William the Silent, Prince of Orange.
  • C. Iris Steensma
    Iris Steensma is the troubled teenage prostitute character from Martin Scorsese’s 1976 film "Taxi Driver," whose role became iconic through Jodie Foster’s acclaimed performance.
  • D. Sjoukje Ozinga
    Sjoukje Ozinga was the mother of Saskia van Uylenburgh, the Dutch woman best known as the wife and muse of painter Rembrandt van Rijn.
  • E. Maayke Velders
    Maayke Velders is known primarily as the spouse of Dutch naval hero Michiel de Ruyter.
  • 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_69ad8b14ffe881908ffed62f9595c867 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9987bb6c8190adfb447b76276962 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108e6a5448190ae32e6d2db8e7248 completed March 11, 2026, 6:17 a.m.
NEDg Description generation batch_69b10a9ba2248190b756cb92437f49ec completed March 11, 2026, 6:24 a.m.
NED2 Entity disambiguation (via description) batch_69b10bb131e48190b0982db3a9656ddc completed March 11, 2026, 6:29 a.m.
Created at: March 8, 2026, 2:58 p.m.