Triple

T3982761
Position Surface form Disambiguated ID Type / Status
Subject Behrens E86796 entity
Predicate derivedFromGivenName P17 FINISHED
Object Berend
Berend is a masculine given name of Germanic origin, commonly found in Dutch and German-speaking regions.
E403376 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: Berend | Statement: [Behrens, derivedFromGivenName, Berend]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berend
Context triple: [Behrens, derivedFromGivenName, Berend]
  • A. Beerta
    Beerta is a village in the municipality of Oldambt in the province of Groningen in the northeastern Netherlands.
  • B. Bertramus
    Bertramus is a Latinized variant of the given name Bertram, historically used in medieval and ecclesiastical contexts.
  • C. Berar
    Berar was a historical region in central India that became a significant Maratha-ruled province, later integrated into British India and now largely part of Maharashtra.
  • D. Berom
    Berom is a Plateau language spoken predominantly by the Berom people in and around Jos in central Nigeria.
  • E. Barnim
    Barnim is a rural district in the state of Brandenburg in northeastern Germany, located just northeast of Berlin.
  • 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: Berend
Triple: [Behrens, derivedFromGivenName, Berend]
Generated description
Berend is a masculine given name of Germanic origin, commonly found in Dutch and German-speaking regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Berend
Target entity description: Berend is a masculine given name of Germanic origin, commonly found in Dutch and German-speaking regions.
  • A. Beerta
    Beerta is a village in the municipality of Oldambt in the province of Groningen in the northeastern Netherlands.
  • B. Bertramus
    Bertramus is a Latinized variant of the given name Bertram, historically used in medieval and ecclesiastical contexts.
  • C. Berar
    Berar was a historical region in central India that became a significant Maratha-ruled province, later integrated into British India and now largely part of Maharashtra.
  • D. Berom
    Berom is a Plateau language spoken predominantly by the Berom people in and around Jos in central Nigeria.
  • E. Barnim
    Barnim is a rural district in the state of Brandenburg in northeastern Germany, located just northeast of Berlin.
  • 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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9dd351c81909605bc2605f541e1 completed March 9, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b540257c188190899b00bf1d0247d2 completed March 14, 2026, 11:01 a.m.
NEDg Description generation batch_69b54111e5188190ab8ec23124c22981 completed March 14, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_69b54193105c81909e2a4e368aae36e8 completed March 14, 2026, 11:08 a.m.
Created at: March 9, 2026, 3:33 p.m.