Triple

T7024207
Position Surface form Disambiguated ID Type / Status
Subject Andries E162902 entity
Predicate hasDiminutiveForm P456 FINISHED
Object Dries
Dries is a Dutch and Flemish masculine given name commonly used as a short form of Andries (Andrew).
 E636799 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: Dries | Statement: [Andries, hasDiminutiveForm, Dries]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dries
Context triple: [Andries, hasDiminutiveForm, Dries]
  • A. Driesh
    Driesh is a prominent mountain in the Grampian range of Scotland, popular with hikers and often climbed alongside its neighboring peak, Mayar.
  • B. Drees
    Drees is a Dutch surname most notably associated with Willem Drees, a prominent 20th-century Dutch prime minister.
  • C. Durst
    Durst is a surname most prominently associated with the New York real estate–developing Durst family, including figures such as Joseph Durst and his descendants.
  • D. Danneels
    Danneels is a Belgian surname most notably associated with Cardinal Godfried Danneels, a prominent Roman Catholic prelate and former Archbishop of Mechelen-Brussels.
  • E. Strijp
    Strijp is a district in the Dutch city of Eindhoven, historically known for its strong association with Philips and its transformation into a creative and cultural hub.
  • 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: Dries
Triple: [Andries, hasDiminutiveForm, Dries]
Generated description
Dries is a Dutch and Flemish masculine given name commonly used as a short form of Andries (Andrew).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dries
Target entity description: Dries is a Dutch and Flemish masculine given name commonly used as a short form of Andries (Andrew).
  • A. Driesh
    Driesh is a prominent mountain in the Grampian range of Scotland, popular with hikers and often climbed alongside its neighboring peak, Mayar.
  • B. Drees
    Drees is a Dutch surname most notably associated with Willem Drees, a prominent 20th-century Dutch prime minister.
  • C. Durst
    Durst is a surname most prominently associated with the New York real estate–developing Durst family, including figures such as Joseph Durst and his descendants.
  • D. Danneels
    Danneels is a Belgian surname most notably associated with Cardinal Godfried Danneels, a prominent Roman Catholic prelate and former Archbishop of Mechelen-Brussels.
  • E. Strijp
    Strijp is a district in the Dutch city of Eindhoven, historically known for its strong association with Philips and its transformation into a creative and cultural hub.
  • 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_69c6885b26248190a857541e3d10e299 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1fa043c81909c900e394a5972f9 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c77581e2a88190ad2ec9855772c6a5 completed March 28, 2026, 6:30 a.m.
NEDg Description generation batch_69c7768f12648190a8e9855af2458a94 completed March 28, 2026, 6:34 a.m.
NED2 Entity disambiguation (via description) batch_69c776bdf56c8190a9fa83d6f2697f1b completed March 28, 2026, 6:35 a.m.
Created at: March 27, 2026, 2:35 p.m.