Triple

T22987690
Position Surface form Disambiguated ID Type / Status
Subject John Strang E571956 entity
Predicate hasFamilyName P18 FINISHED
Object Strang NE NERFINISHED

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: Strang | Statement: [John Strang, hasFamilyName, Strang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strang
Context triple: [John Strang, hasFamilyName, Strang]
  • A. Strang chosen
    Strang is a surname of likely Germanic or Scandinavian origin, sometimes used as a variant of "Strong."
  • B. Stange
    Stange is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and proximity to the town of Hamar.
  • C. Strawn
    Strawn is a surname and place name of English and Scottish origin, often considered a variant of the name Strachan.
  • D. Strank
    Strank is a surname most notably associated with Michael Strank, one of the U.S. Marines immortalized in the iconic World War II photograph of the flag raising on Iwo Jima.
  • E. Strachane
    Strachane is an alternative spelling of the Scottish surname Strachan, historically associated with a clan and place in Aberdeenshire, Scotland.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b535808190adef8a9df3c584db completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1829b4ea88190bc1a01183df7a1bb completed April 29, 2026, 4:01 a.m.
Created at: April 17, 2026, 3:49 p.m.