Triple

T6054593
Position Surface form Disambiguated ID Type / Status
Subject Anders E134876 entity
Predicate isRelatedTo P37 FINISHED
Object Andersen E206886 NE FINISHED

How this triple was built (2 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: [Anders, isRelatedTo, Andersen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andersen
Context triple: [Anders, isRelatedTo, Andersen]
  • A. Andersen chosen
    Andersen is a common Scandinavian surname of Danish and Norwegian origin, meaning "son of Anders."
  • B. 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."
  • C. Hans Axel
    Hans Axel was the given name of Axel von Fersen the Younger, a Swedish count, diplomat, and military officer best known for his close relationship with Marie Antoinette and his role in the French Revolution.
  • D. Anders
    Anders is a Scandinavian given name, commonly used in countries like Sweden, Norway, and Denmark, and is a variant of the name Andrew.
  • E. Henrik
    Henrik is the given name of the renowned Norwegian mathematician Niels Henrik Abel, known for his pioneering work in algebra and analysis.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c00877b6d4819096b0e163728b73a3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05708fda48190ad3d1860969ebb6a completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c113ac051c8190b2b8a4985948d8e0 completed March 23, 2026, 10:19 a.m.
Created at: March 22, 2026, 4:09 p.m.