Triple

T9886142
Position Surface form Disambiguated ID Type / Status
Subject Peri Gilpin E180935 entity
Predicate appearedIn P795 FINISHED
Object Make It or Break It E747066 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: Make It or Break It | Statement: [Peri Gilpin, appearedIn, Make It or Break It]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Make It or Break It
Context triple: [Peri Gilpin, appearedIn, Make It or Break It]
  • A. Make It or Break It (TV series) chosen
    Make It or Break It is an American teen drama television series that follows the intense personal and competitive lives of elite gymnasts training for the Olympics.
  • B. Breakers
    Breakers is an Australian television soap opera that aired in the late 1990s, focusing on the intertwined lives of residents and workers around a Bondi Beach café and gym complex.
  • C. Breakers
    Breakers is the short name of the Boston Breakers, a former professional women's soccer team based in Boston, Massachusetts.
  • D. Breaker High
    Breaker High is a late-1990s Canadian teen comedy-drama television series set on a high school cruise ship, known for its lighthearted tone and early roles for actors like Ryan Gosling and Tyler Labine.
  • E. Make and Break
    Make and Break is a satirical stage play by Michael Frayn that explores corporate culture and moral compromise through the story of a driven businessman at a trade fair.
  • 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_69ca828082cc8190a40f8d299caa6545 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb45659748190a3ebd1abe23c8779 completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eafc76b0819098e481bb17a3af2b completed April 5, 2026, 4:54 a.m.
Created at: March 30, 2026, 8:38 p.m.