Triple

T16952999
Position Surface form Disambiguated ID Type / Status
Subject Shivers E411228 entity
Predicate hasTrack P3284 FINISHED
Object Bounce Back E201359 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: Bounce Back | Statement: [Shivers, hasTrack, Bounce Back]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bounce Back
Context triple: [Shivers, hasTrack, Bounce Back]
  • A. Bounce Back chosen
    "Bounce Back" is a 2016 hit single by American rapper Big Sean known for its motivational theme about recovering from setbacks and its strong commercial success.
  • B. Bouncing Back
    Bouncing Back is a humorous and candid self-help memoir by comedian Joan Rivers about overcoming personal and professional setbacks.
  • C. The Bounceback
    The Bounceback is an independent romantic comedy film directed by Bryan Poyser, known for its Austin, Texas setting and its exploration of modern relationships and post-breakup rebound dynamics.
  • D. Comeback
    "Comeback" is a pop song by the Jonas Brothers from their 2019 reunion album "Happiness Begins."
  • E. Rebound
    Rebound is a 2005 sports comedy film starring Martin Lawrence as a disgraced college basketball coach who must redeem himself by leading a misfit middle school team.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d01a4ae8819085a6ce01fbc71b0f completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d46213b08190b33b48d12bc795d1 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.