Triple
T16834455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Never Woke Up in Handcuffs Before |
E409235
|
entity |
| Predicate | hasFunctionInFilm |
P65544
|
FINISHED |
| Object | underscores adventurous tone |
—
|
LITERAL 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: underscores adventurous tone | Statement: [I Never Woke Up in Handcuffs Before, hasFunctionInFilm, underscores adventurous tone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFunctionInFilm Context triple: [I Never Woke Up in Handcuffs Before, hasFunctionInFilm, underscores adventurous tone]
-
A.
methodInFilm
Indicates that a particular method, technique, or approach is used or depicted within a specific film.
-
B.
hasWorkedOnFilmBy
Indicates that one entity has worked on a film that was created, directed, or otherwise authored by another entity.
-
C.
hasStageNameInFilm
Indicates that an individual is credited or referred to by a particular stage name in a specific film.
-
D.
filmicFunction
chosen
Indicates the role or purpose that something serves within the structure, style, or narrative function of a film.
-
E.
hasFunctionAfterFilming
Indicates that an entity participates in or hosts a function or event that takes place after a filming activity has concluded.
- F. None of above.
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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b31aa44c8190b4f402f1898e6998 |
completed | April 18, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69e32b87b4248190aaddb05e88452356 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:23 a.m.