Triple

T5551373
Position Surface form Disambiguated ID Type / Status
Subject Sonny Siebert E145532 entity
Predicate givenName P17 FINISHED
Object Wilfred E37126 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: Wilfred | Statement: [Sonny Siebert, givenName, Wilfred]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilfred
Context triple: [Sonny Siebert, givenName, Wilfred]
  • A. Wilfred chosen
    Wilfred is a masculine given name of English origin, notably borne by the World War I poet Wilfred Owen.
  • B. Wilfred the Hairy
    Wilfred the Hairy was a 9th-century Catalan nobleman and count who played a key role in consolidating and Christianizing the counties that became the core of medieval Catalonia.
  • C. Wilfrid
    Wilfrid is a masculine given name of Old English origin, often associated with early medieval saints and historical figures in Britain.
  • D. Alfrid
    Alfrid is a masculine given name of Germanic origin, commonly associated with medieval and fantasy settings.
  • E. Godric of Mappestone
    Godric of Mappestone was a Norman-era nobleman and landholder in Herefordshire, England, known as the medieval lord responsible for establishing Goodrich Castle.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fe3e7788190aa5361b083197c17 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c028350bc08190a8b48893157b86a1 completed March 22, 2026, 5:34 p.m.
Created at: March 22, 2026, 3:35 p.m.