Triple

T10393929
Position Surface form Disambiguated ID Type / Status
Subject Andersson E244958 entity
Predicate hasVariant P455 FINISHED
Object Anderssen E238968 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: Anderssen | Statement: [Andersson, hasVariant, Anderssen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anderssen
Context triple: [Andersson, hasVariant, Anderssen]
  • A. Anderssen chosen
    Anderssen is a surname of likely Scandinavian or German origin, used as a variant of the more common name Anderson.
  • B. Paul Morphy
    Paul Morphy was a 19th-century American chess prodigy widely regarded as one of the strongest players of his era and an unofficial world champion.
  • C. Wilhelm Steinitz
    Wilhelm Steinitz was an Austrian chess player widely regarded as the first official World Chess Champion and a pioneer of modern positional play.
  • D. Alexander Alekhine
    Alexander Alekhine was a Russian-French chess grandmaster and World Chess Champion renowned for his deeply imaginative attacking style and major contributions to opening theory.
  • E. Morphy
    Morphy is a less common variant of the surname Murphy, often used as an alternative spelling or anglicized form.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9b795fc8190aa50ce3c7360ff83 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d795c8271c81908a6b67822050c06d completed April 9, 2026, 12:04 p.m.
Created at: April 6, 2026, 12:06 p.m.