Triple

T8715621
Position Surface form Disambiguated ID Type / Status
Subject Andersen E206886 entity
Predicate hasVariant P455 FINISHED
Object Andresen
Andresen is a surname of Scandinavian origin, commonly used as a variant spelling of Andersen.
E753925 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: Andresen | Statement: [Andersen, hasVariant, Andresen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andresen
Context triple: [Andersen, hasVariant, Andresen]
  • A. Anders
    Anders is a Scandinavian given name, commonly used in countries like Sweden, Norway, and Denmark, and is a variant of the name Andrew.
  • B. Andis
    The Andis are a small Northeast Caucasian ethnic group native to the mountainous regions of Dagestan in Russia, known for their distinct Andic language and traditional highland culture.
  • C. Andersson
    Andersson is a common Swedish surname borne by numerous notable individuals across fields such as music, sports, and politics.
  • D. Ansen
    Ansen is a small village in the Dutch province of Drenthe, located within the municipality of De Wolden.
  • E. Andries
    Andries is a Dutch given name traditionally used for men, equivalent to Andrew in English.
  • 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: Andresen
Triple: [Andersen, hasVariant, Andresen]
Generated description
Andresen is a surname of Scandinavian origin, commonly used as a variant spelling of Andersen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Andresen
Target entity description: Andresen is a surname of Scandinavian origin, commonly used as a variant spelling of Andersen.
  • A. Anders
    Anders is a Scandinavian given name, commonly used in countries like Sweden, Norway, and Denmark, and is a variant of the name Andrew.
  • B. Andis
    The Andis are a small Northeast Caucasian ethnic group native to the mountainous regions of Dagestan in Russia, known for their distinct Andic language and traditional highland culture.
  • C. Andersson
    Andersson is a common Swedish surname borne by numerous notable individuals across fields such as music, sports, and politics.
  • D. Ansen
    Ansen is a small village in the Dutch province of Drenthe, located within the municipality of De Wolden.
  • E. Andries
    Andries is a Dutch given name traditionally used for men, equivalent to Andrew in English.
  • 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_69ca83572d4881909bef3be2b578d539 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5cd807cc819090b58caf285b397a completed March 31, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28d62af88190acf2d8692d73b9f5 completed April 3, 2026, 2:41 a.m.
NEDg Description generation batch_69cf2bd222b08190907ba7e98991996e completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2fcb5e7c819086b441d1ef4fc368 completed April 3, 2026, 3:11 a.m.
Created at: March 30, 2026, 6:35 p.m.