Triple

T8190823
Position Surface form Disambiguated ID Type / Status
Subject Karen Rosenfelt E191298 entity
Predicate notableWork P4 FINISHED
Object Step Up E506685 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: Step Up | Statement: [Karen Rosenfelt, notableWork, Step Up]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Step Up
Context triple: [Karen Rosenfelt, notableWork, Step Up]
  • A. Step Up chosen
    Step Up is a 2006 dance-romance film that launched a popular franchise centered on street dance, music, and youth culture.
  • B. Step Up 2: The Streets
    Step Up 2: The Streets is a 2008 dance drama film and sequel to Step Up, following a rebellious street dancer who joins an elite arts school and blends street and formal dance styles in a high-energy competition.
  • C. Step Up 3D
    Step Up 3D is a 2010 dance film in the Step Up franchise, known for its elaborate street dance sequences and use of 3D technology.
  • D. One Step Up
    "One Step Up" is a reflective, country-tinged rock ballad by Bruce Springsteen that explores the breakdown of a romantic relationship.
  • E. film "Step Up"
    "Step Up" is a 2006 dance drama film that follows a rebellious street dancer and a disciplined ballet student who team up for a life-changing performance at a prestigious arts school.
  • 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_69ca82c5b6948190a583c096fb0a6c71 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4da2f4108190b9b69cb7f41ef374 completed March 31, 2026, 4:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced979d408190851088c6d3f4df24 completed April 1, 2026, 10:04 a.m.
Created at: March 30, 2026, 5:41 p.m.