Triple

T20254441
Position Surface form Disambiguated ID Type / Status
Subject Peter Phelps E498647 entity
Predicate notableWork P4 FINISHED
Object Heartbreak High NE NERFINISHED

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: Heartbreak High | Statement: [Peter Phelps, notableWork, Heartbreak High]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heartbreak High
Context triple: [Peter Phelps, notableWork, Heartbreak High]
  • A. Heartbreak High chosen
    Heartbreak High is an Australian teen drama television series that explores the lives, relationships, and social issues of students at a multicultural high school in Sydney.
  • B. Heartbreak Hill
    Heartbreak Hill is a famously steep and mentally challenging late-race climb on the Boston Marathon course that often proves decisive in runners’ performances.
  • C. Heartbreak Hill
    Heartbreak Hill is a country song by Emmylou Harris, known for its poignant lyrics and her signature emotive vocal style.
  • D. Heartbreak Town
    Heartbreak Town is a song featured on the Dixie Chicks' album "Fly," known for its reflective lyrics about disillusionment and small-town struggles.
  • E. Welcome to Heartbreak
    "Welcome to Heartbreak" is a melancholic, synth-driven track by Kanye West that explores the emotional emptiness and personal cost of fame.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673aa42348190852ae8313f4494ca completed April 20, 2026, 6:42 p.m.
Created at: April 11, 2026, 11:41 p.m.