Triple

T1840028
Position Surface form Disambiguated ID Type / Status
Subject James Roy Andersen E41154 entity
Predicate familyName P18 FINISHED
Object Andersen
Andersen is a common Scandinavian surname of Danish and Norwegian origin, meaning "son of Anders."
 E206886 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: Andersen | Statement: [James Roy Andersen, familyName, Andersen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Andersen
Context triple: [James Roy Andersen, familyName, Andersen]
  • A. Hans Christian Andersen
    Hans Christian Andersen was a 19th-century Danish author best known worldwide for his enduring fairy tales such as "The Little Mermaid," "The Ugly Duckling," and "The Snow Queen."
  • B. Anders
    Anders is a Scandinavian given name, commonly used in countries like Sweden, Norway, and Denmark, and is a variant of the name Andrew.
  • C. Henrik
    Henrik is the given name of the renowned Norwegian mathematician Niels Henrik Abel, known for his pioneering work in algebra and analysis.
  • D. Niels
    Niels is the given name of the pioneering Norwegian mathematician Niels Henrik Abel, known for his foundational work in algebra and analysis.
  • E. Arne
    Arne is a Scandinavian masculine given name commonly used in Norway, Sweden, and Denmark.
  • 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: Andersen
Triple: [James Roy Andersen, familyName, Andersen]
Generated description
Andersen is a common Scandinavian surname of Danish and Norwegian origin, meaning "son of Anders."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Andersen
Target entity description: Andersen is a common Scandinavian surname of Danish and Norwegian origin, meaning "son of Anders."
  • A. Hans Christian Andersen
    Hans Christian Andersen was a 19th-century Danish author best known worldwide for his enduring fairy tales such as "The Little Mermaid," "The Ugly Duckling," and "The Snow Queen."
  • B. Anders
    Anders is a Scandinavian given name, commonly used in countries like Sweden, Norway, and Denmark, and is a variant of the name Andrew.
  • C. Henrik
    Henrik is the given name of the renowned Norwegian mathematician Niels Henrik Abel, known for his pioneering work in algebra and analysis.
  • D. Niels
    Niels is the given name of the pioneering Norwegian mathematician Niels Henrik Abel, known for his foundational work in algebra and analysis.
  • E. Arne
    Arne is a Scandinavian masculine given name commonly used in Norway, Sweden, and Denmark.
  • 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb03b3eb08190ae68d8476fc89c7f completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9bb92a88190a00b102d3be0383c completed March 8, 2026, 7:10 p.m.
NEDg Description generation batch_69adcaf078a0819082c4bb48a3820ada completed March 8, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69adce8a68848190ab56f5df7311dbca completed March 8, 2026, 7:31 p.m.
Created at: March 4, 2026, 7:33 p.m.