Triple

T11269655
Position Surface form Disambiguated ID Type / Status
Subject Simons E266776 entity
Predicate hasVariant P455 FINISHED
Object Symons E907896 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: Symons | Statement: [Simons, hasVariant, Symons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Symons
Context triple: [Simons, hasVariant, Symons]
  • A. Symons chosen
    Symons is a surname most notably associated with Donald Symons, an influential evolutionary psychologist known for his work on human sexuality.
  • B. Simonds
    Simonds is a surname most notably associated with Canadian Lieutenant-General Guy Simonds, a prominent military commander during the Second World War.
  • C. Simmons
    Simmons is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, academia, and business.
  • D. Simonis
    Simonis is a major Brussels Metro interchange station serving multiple lines in the northwest of Brussels, Belgium.
  • E. Symon
    Symon is a given name most notably borne by Symon Petliura, a Ukrainian political leader and statesman of the early 20th century.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e94f60d48190bc925c3cb88641a8 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ccdf9e0c819098a921146e8d6e30 completed April 19, 2026, 12:38 p.m.
Created at: April 8, 2026, 9:31 p.m.