Triple
T20155053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Waters |
E491537
|
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: [John Waters, notableWork, Heartbreak High]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heartbreak High Context triple: [John Waters, 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667df7ac081908816d2d29e7c6513 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.