Triple

T9131383
Position Surface form Disambiguated ID Type / Status
Subject Octavia Spencer as Aunt Honey E219093 entity
Predicate appearsIn P795 FINISHED
Object Get on Up E42174 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: Get on Up | Statement: [Octavia Spencer as Aunt Honey, appearsIn, Get on Up]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Get on Up
Context triple: [Octavia Spencer as Aunt Honey, appearsIn, Get on Up]
  • A. Get on Up chosen
    Get on Up is a 2014 biographical drama film about the life and career of soul music legend James Brown.
  • B. Get Up
    "Get Up" is a track by the American heavy metal band Scream, featured on one of their releases.
  • C. Get Up
    Get Up is a morning sports talk and analysis show on ESPN featuring discussions, highlights, and commentary on major sports stories and events.
  • D. Move On Up
    "Move On Up" is an uplifting soul and funk anthem by Curtis Mayfield, celebrated for its driving horn arrangement and inspirational message of perseverance and social progress.
  • E. Come On Get Up
    "Come On Get Up" is a dance-pop song by Janet Jackson from her 2001 album "All for You."
  • 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_69ca83debfc0819095800583e97ab10f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8ceea6c81909f368f12dac1649c completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065c40d008190940309772b89a900 completed April 4, 2026, 1:13 a.m.
Created at: March 30, 2026, 7:18 p.m.