Triple

T10592431
Position Surface form Disambiguated ID Type / Status
Subject Break Every Rule E250023 entity
Predicate single P3283 FINISHED
Object Back Where You Started E875928 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: Back Where You Started | Statement: [Break Every Rule, single, Back Where You Started]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Back Where You Started
Context triple: [Break Every Rule, single, Back Where You Started]
  • A. Back Where You Started chosen
    "Back Where You Started" is a rock song best known for being performed by Tina Turner and featured on her 1986 album "Break Every Rule."
  • B. Back Where It Begins
    "Back Where It Begins" is an episode of the animated television series Rocket Power that focuses on the origins and early experiences of the show's main characters.
  • C. It’s Not Where You Start
    "It’s Not Where You Start" is an uplifting show tune with lyrics by Dorothy Fields, best known from the 1973 Broadway musical "Seesaw."
  • D. The Way Back Home
    The Way Back Home is a drama film featuring actor Maxim Knight in its cast.
  • E. Where Can I Start
    "Where Can I Start" is an episode of the animated television series Rocket Power, following the adventures of a group of extreme-sports-loving kids.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5277da8048190add007ca0c37253e completed April 7, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a1bba1c8190af5a078f40f3bc0a completed April 10, 2026, 10:30 p.m.
Created at: April 6, 2026, 12:40 p.m.