Triple

T10152799
Position Surface form Disambiguated ID Type / Status
Subject Max Cullen E232688 entity
Predicate notableWork P4 FINISHED
Object Heartbreak High E761248 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: Heartbreak High | Statement: [Max Cullen, notableWork, Heartbreak High]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heartbreak High
Context triple: [Max Cullen, 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 country song by Emmylou Harris, known for its poignant lyrics and her signature emotive vocal style.
  • C. 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.
  • D. 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.
  • E. Heartbreaker
    "Heartbreaker" is a popular electro house track by Canadian duo MSTRKRFT, known for its catchy synths and dancefloor-friendly energy.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec361c7c8190b8fd841d728d5bbe completed April 2, 2026, 4:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e64b5a40819093f29ec34cb0a763 completed April 5, 2026, 10:46 p.m.
Created at: March 30, 2026, 9:08 p.m.