Triple
T2060766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dear Evan Hansen |
E45782
|
entity |
| Predicate | hasNovelization |
P35529
|
FINISHED |
| Object | Dear Evan Hansen: The Novel |
E45782
|
NE FINISHED |
How this triple was built (3 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: Dear Evan Hansen: The Novel | Statement: [Dear Evan Hansen, hasNovelization, Dear Evan Hansen: The Novel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dear Evan Hansen: The Novel Context triple: [Dear Evan Hansen, hasNovelization, Dear Evan Hansen: The Novel]
-
A.
Dear Evan Hansen
chosen
Dear Evan Hansen is a contemporary Broadway musical that explores themes of loneliness, social media, and identity through the story of an anxious high school student whose lie spirals out of control.
-
B.
The Fault in Our Stars
The Fault in Our Stars is a bestselling young adult novel by John Green, later adapted into a popular romantic drama film about two teenagers with cancer who fall in love.
-
C.
Before I Fall
Before I Fall is a 2017 teen drama film based on Lauren Oliver’s novel, following a high school girl reliving the day of her death to uncover the truth about her life and relationships.
-
D.
Next to Normal
Next to Normal is a Pulitzer Prize–winning rock musical that explores a suburban family's struggle with mental illness and grief.
-
E.
Paper Towns
Paper Towns is a 2015 coming-of-age mystery film, based on John Green’s novel, that follows a teenager’s quest to find his enigmatic neighbor after her sudden disappearance.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNovelization Context triple: [Dear Evan Hansen, hasNovelization, Dear Evan Hansen: The Novel]
-
A.
hasFictionComponent
Indicates that something includes, contains, or is composed in part of a fictional element or work.
-
B.
isOnlyNovelBy
Indicates that the referenced work is the sole novel created by the specified author or creator.
-
C.
hasAudiobookVersion
Indicates that an entity has a corresponding version available in audiobook format.
-
D.
novelAdaptationCoAuthor
Indicates that the specified person is a co-author of a novel that is an adaptation of another work.
-
E.
screenWriterAdaptationBy
Indicates that a person served as the screenwriter responsible for adapting an existing work into a screenplay.
- F. None of above. chosen
Provenance (5 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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9d0ecf08190aec20338a6ba9911 |
completed | March 7, 2026, 5:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae271cb26c81908664f4c26f4fb5ea |
completed | March 9, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69abb7ad5a7c8190b92575d6053b3fb7 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb92f90a881909a1f10b060132a9e |
completed | March 7, 2026, 5:35 a.m. |
Created at: March 4, 2026, 7:40 p.m.