Triple

T4083529
Position Surface form Disambiguated ID Type / Status
Subject Reinier de Graaf E87534 entity
Predicate familyName P18 FINISHED
Object de Graaf
De Graaf is a Dutch surname most notably associated with figures such as Reinier de Graaf, a 17th-century physician and anatomist known for his pioneering work on the reproductive system.
 E411609 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: de Graaf | Statement: [Reinier de Graaf, familyName, de Graaf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: de Graaf
Context triple: [Reinier de Graaf, familyName, de Graaf]
  • A. Ovaro
    Ovaro is a small municipality in the Carnia region of Friuli-Venezia Giulia in northeastern Italy, known as a gateway village to the famous Monte Zoncolan climb in the Alps.
  • B. Egrisi
    Egrisi was a medieval Georgian kingdom that emerged as a successor to ancient Colchis in the western Caucasus region.
  • C. Grenitote
    Grenitote is a small settlement on the island of North Uist in Scotland’s Outer Hebrides.
  • D. Neilia
    Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
  • E. Velda
    Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
  • 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: de Graaf
Triple: [Reinier de Graaf, familyName, de Graaf]
Generated description
De Graaf is a Dutch surname most notably associated with figures such as Reinier de Graaf, a 17th-century physician and anatomist known for his pioneering work on the reproductive system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: de Graaf
Target entity description: De Graaf is a Dutch surname most notably associated with figures such as Reinier de Graaf, a 17th-century physician and anatomist known for his pioneering work on the reproductive system.
  • A. Ovaro
    Ovaro is a small municipality in the Carnia region of Friuli-Venezia Giulia in northeastern Italy, known as a gateway village to the famous Monte Zoncolan climb in the Alps.
  • B. Egrisi
    Egrisi was a medieval Georgian kingdom that emerged as a successor to ancient Colchis in the western Caucasus region.
  • C. Grenitote
    Grenitote is a small settlement on the island of North Uist in Scotland’s Outer Hebrides.
  • D. Neilia
    Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
  • E. Velda
    Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
  • 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_69aed9435cf48190ad1da737c962d19d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc7933b481909bb3e02c6c04c8ee completed March 9, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562c6456081908cca823ebb13936a completed March 14, 2026, 1:29 p.m.
NEDg Description generation batch_69b563b5cc108190bb9684abafa608af completed March 14, 2026, 1:33 p.m.
NED2 Entity disambiguation (via description) batch_69b5646606f08190930451ac372154cd completed March 14, 2026, 1:36 p.m.
Created at: March 9, 2026, 3:39 p.m.