Triple

T13859503
Position Surface form Disambiguated ID Type / Status
Subject Saunders E333152 entity
Predicate hasVariant P455 FINISHED
Object Sander E571675 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: Sander | Statement: [Saunders, hasVariant, Sander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sander
Context triple: [Saunders, hasVariant, Sander]
  • A. Sander chosen
    Sander is a masculine given name commonly used in Dutch- and Scandinavian-speaking countries, often as a short form of Alexander.
  • B. Erdman
    Erdman is a masculine given name most notably borne by Disney story artist and screenwriter Erdman Penner.
  • C. Zander
    Zander is a given name, often used as a variant or short form of Alexander, that can function as either a first name or surname.
  • D. Sjoerd
    Sjoerd is a Dutch given name, most notably borne by architect Sjoerd Soeters.
  • E. Schalk
    Schalk is a masculine given name of Afrikaans and Dutch origin, commonly used in South Africa.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02de38e48190b6ead95561031c32 completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0fd3ffc8190965a730843411b80 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.