Triple

T9070727
Position Surface form Disambiguated ID Type / Status
Subject Tjalling C. Koopmans E217358 entity
Predicate givenName P17 FINISHED
Object Tjalling E217357 NE FINISHED

How this triple was built (2 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: Tjalling | Statement: [Tjalling C. Koopmans, givenName, Tjalling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tjalling
Context triple: [Tjalling C. Koopmans, givenName, Tjalling]
  • A. Tjalling chosen
    Tjalling is a Dutch given name most notably borne by Nobel Prize–winning economist Tjalling C. Koopmans.
  • B. Johan de Jonge
    Johan de Jonge is a person notable enough to be recognized as a distinguished bearer of the surname "de Jonge."
  • C. Goudriaan
    Goudriaan is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
  • D. Herman Tjeenk Willink
    Herman Tjeenk Willink is a Dutch politician and former vice president of the Council of State, known for his influential role as a government adviser and informateur in cabinet formations.
  • E. Jurriaan de Jonge
    Jurriaan de Jonge is an individual notable enough to be specifically cited as a bearer of the Dutch surname "de Jonge."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc955ec5c0819089bb42448edf391e completed April 1, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffde470388190ae88a96654404410 completed April 3, 2026, 5:50 p.m.
Created at: March 30, 2026, 7:11 p.m.