Triple

T1798856
Position Surface form Disambiguated ID Type / Status
Subject Jan Tinbergen E39667 entity
Predicate familyName P18 FINISHED
Object Tinbergen
Tinbergen is a Dutch surname most famously associated with brothers Jan and Niko Tinbergen, who were pioneering figures in economics and ethology respectively.
 E200959 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: Tinbergen | Statement: [Jan Tinbergen, familyName, Tinbergen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tinbergen
Context triple: [Jan Tinbergen, familyName, Tinbergen]
  • A. Westerveld
    Westerveld is a rural municipality in the Dutch province of Drenthe, known for its natural landscapes, historic villages, and prehistoric dolmens.
  • B. Heezen
    Heezen is a surname most notably associated with American geologist and oceanographer Bruce C. Heezen, a pioneer in mapping the ocean floor.
  • C. Merian
    Merian is a given name most notably borne by Merian C. Cooper, the American filmmaker and co-creator of the classic movie "King Kong."
  • D. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • E. Hollandia
    Hollandia is an engineering firm known for its role in designing and constructing major structures such as the London Eye.
  • 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: Tinbergen
Triple: [Jan Tinbergen, familyName, Tinbergen]
Generated description
Tinbergen is a Dutch surname most famously associated with brothers Jan and Niko Tinbergen, who were pioneering figures in economics and ethology respectively.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tinbergen
Target entity description: Tinbergen is a Dutch surname most famously associated with brothers Jan and Niko Tinbergen, who were pioneering figures in economics and ethology respectively.
  • A. Westerveld
    Westerveld is a rural municipality in the Dutch province of Drenthe, known for its natural landscapes, historic villages, and prehistoric dolmens.
  • B. Heezen
    Heezen is a surname most notably associated with American geologist and oceanographer Bruce C. Heezen, a pioneer in mapping the ocean floor.
  • C. Merian
    Merian is a given name most notably borne by Merian C. Cooper, the American filmmaker and co-creator of the classic movie "King Kong."
  • D. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • E. Hollandia
    Hollandia is an engineering firm known for its role in designing and constructing major structures such as the London Eye.
  • 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_69a88632aa588190ba3978fde0db5bbd completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6568373c81908044e0cd8a38344d completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5d8da888190a88f3bd8036e19f4 completed March 8, 2026, 5:46 p.m.
NEDg Description generation batch_69adb69c149081908b5b819c068a1ce2 completed March 8, 2026, 5:49 p.m.
NED2 Entity disambiguation (via description) batch_69adb8be528c819092a5e22b099fc2a0 completed March 8, 2026, 5:58 p.m.
Created at: March 4, 2026, 7:32 p.m.