Triple

T14712261
Position Surface form Disambiguated ID Type / Status
Subject The Losers E345576 entity
Predicate mainCharacter P1183 FINISHED
Object Jensen E467290 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: [The Losers, mainCharacter, Jensen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jensen
Context triple: [The Losers, mainCharacter, Jensen]
  • A. Jensen
    Jensen is a Scandinavian-origin surname and given name, most commonly associated with Danish and Norwegian patronymic naming traditions.
  • B. 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.
  • C. Jensen chosen
    Jensen is the wisecracking, tech-savvy hacker and communications expert on the black-ops team in the action film "The Losers" (2010).
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb982bf248190881e21a8a0861a3f completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf08f2aa08190a5ac3240d1de90fb completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:28 a.m.