Triple

T17020065
Position Surface form Disambiguated ID Type / Status
Subject Johan Jensen E412924 entity
Predicate familyName P18 FINISHED
Object Jensen E100649 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: Jensen | Statement: [Johan Jensen, familyName, Jensen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jensen
Context triple: [Johan Jensen, familyName, Jensen]
  • A. Jensen chosen
    Jensen is a Scandinavian-origin surname and given name, most commonly associated with Danish and Norwegian patronymic naming traditions.
  • B. Jensen
    Jensen is the wisecracking, tech-savvy hacker and communications expert on the black-ops team in the action film "The Losers" (2010).
  • C. Jensen
    Jensen is a key crew member aboard the Cloverfield space station in the science fiction horror film "The Cloverfield Paradox," whose actions and fate are central to the movie’s interdimensional crisis.
  • D. Jenson
    Jenson is a given name and surname of English origin, commonly used as a variant spelling of Jensen.
  • E. Menzlin
    Menzlin is a small locality in northeastern Germany, historically part of Pomerania.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d482c3a0819099e6ea4acb0a08ee completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b4f9dfc819085639edb5cda1cca completed May 10, 2026, 11:57 p.m.
Created at: April 10, 2026, 5:33 a.m.