Triple

T5254910
Position Surface form Disambiguated ID Type / Status
Subject Aaron Zigman E118675 entity
Predicate notableWork P4 FINISHED
Object Step Up
Step Up is a 2006 dance-romance film that launched a popular franchise centered on street dance, music, and youth culture.
E506685 NE FINISHED

How this triple was built (4 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: [Aaron Zigman, notableWork, Step Up]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Step Up
Context triple: [Aaron Zigman, notableWork, Step Up]
  • A. 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.
  • B. 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.
  • C. One Step Up
    "One Step Up" is a reflective, country-tinged rock ballad by Bruce Springsteen that explores the breakdown of a romantic relationship.
  • D. Get Up
    "Get Up" is a track by the American heavy metal band Scream, featured on one of their releases.
  • E. Hustle
    Hustle is a British television drama series about a group of highly skilled con artists who pull off elaborate scams against corrupt and greedy targets.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Step Up
Triple: [Aaron Zigman, notableWork, Step Up]
Generated description
Step Up is a 2006 dance-romance film that launched a popular franchise centered on street dance, music, and youth culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Step Up
Target entity description: Step Up is a 2006 dance-romance film that launched a popular franchise centered on street dance, music, and youth culture.
  • A. 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.
  • B. 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.
  • C. One Step Up
    "One Step Up" is a reflective, country-tinged rock ballad by Bruce Springsteen that explores the breakdown of a romantic relationship.
  • D. Get Up
    "Get Up" is a track by the American heavy metal band Scream, featured on one of their releases.
  • E. Hustle
    Hustle is a British television drama series about a group of highly skilled con artists who pull off elaborate scams against corrupt and greedy targets.
  • F. None of above. chosen

Provenance (5 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7ba2f5d08190850529659901ae0f completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe7708108190ac772f7b2d5ab02a completed March 21, 2026, 8:24 p.m.
NEDg Description generation batch_69beff55faec8190a75a1b5f339a2c20 completed March 21, 2026, 8:28 p.m.
NED2 Entity disambiguation (via description) batch_69bf001f0d9c8190a67909a06ea41898 completed March 21, 2026, 8:31 p.m.
Created at: March 20, 2026, 1:50 p.m.