Triple

T6649267
Position Surface form Disambiguated ID Type / Status
Subject Sarina Wiegman E150777 entity
Predicate managedTeam P3234 FINISHED
Object Ter Leede (women)
Ter Leede (women) is a Dutch women's football club known for competing in the top tiers of the Netherlands' women's game and for being one of the early teams coached by Sarina Wiegman.
 E609707 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: Ter Leede (women) | Statement: [Sarina Wiegman, managedTeam, Ter Leede (women)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ter Leede (women)
Context triple: [Sarina Wiegman, managedTeam, Ter Leede (women)]
  • A. Eeltije Vinck
    Eeltije Vinck was the wife of Dutch Golden Age landscape painter Meindert Hobbema.
  • B. Maayke Velders
    Maayke Velders is known primarily as the spouse of Dutch naval hero Michiel de Ruyter.
  • C. Marina van der Velde-Menting
    Marina van der Velde-Menting is a Dutch local politician who serves as the mayor of the municipality of Kaag en Braassem in the Netherlands.
  • D. Marlene Tromp
    Marlene Tromp is an American academic administrator and scholar who serves as the president of Boise State University.
  • E. Sara ter Hiel
    Sara ter Hiel was the wife of Dutch Baroque painter and inventor Jan van der Heyden, known for his innovations in firefighting and street lighting.
  • 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: Ter Leede (women)
Triple: [Sarina Wiegman, managedTeam, Ter Leede (women)]
Generated description
Ter Leede (women) is a Dutch women's football club known for competing in the top tiers of the Netherlands' women's game and for being one of the early teams coached by Sarina Wiegman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ter Leede (women)
Target entity description: Ter Leede (women) is a Dutch women's football club known for competing in the top tiers of the Netherlands' women's game and for being one of the early teams coached by Sarina Wiegman.
  • A. Eeltije Vinck
    Eeltije Vinck was the wife of Dutch Golden Age landscape painter Meindert Hobbema.
  • B. Maayke Velders
    Maayke Velders is known primarily as the spouse of Dutch naval hero Michiel de Ruyter.
  • C. Marina van der Velde-Menting
    Marina van der Velde-Menting is a Dutch local politician who serves as the mayor of the municipality of Kaag en Braassem in the Netherlands.
  • D. Marlene Tromp
    Marlene Tromp is an American academic administrator and scholar who serves as the president of Boise State University.
  • E. Sara ter Hiel
    Sara ter Hiel was the wife of Dutch Baroque painter and inventor Jan van der Heyden, known for his innovations in firefighting and street lighting.
  • 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b01fea4c8190a21ba7f4c2018c5e completed March 27, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eef91eb08190a00ae027c21b08bf completed March 27, 2026, 8:56 p.m.
NEDg Description generation batch_69c6f1ed97248190ab2253b3b2457f4f completed March 27, 2026, 9:09 p.m.
NED2 Entity disambiguation (via description) batch_69c6f2c18c0081908958b7ffeed7a787 completed March 27, 2026, 9:12 p.m.
Created at: March 27, 2026, 2:01 p.m.