Triple
T21524375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Next Stop Wonderland |
E531055
|
entity |
| Predicate | hasIndependentFilmStatus |
P44896
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Next Stop Wonderland, hasIndependentFilmStatus, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIndependentFilmStatus Context triple: [Next Stop Wonderland, hasIndependentFilmStatus, true]
-
A.
independentFilm
chosen
Indicates that a film is produced outside the major studio system, typically with greater creative control and lower budgets.
-
B.
hasFilmFestival
Indicates that a place, organization, or context hosts, organizes, or is the venue for a film festival.
-
C.
hasCultFilmStatus
Indicates that a film has achieved cult status, typically through a dedicated, passionate fanbase despite limited or non-mainstream popularity.
-
D.
hasTheatricalFilm
Indicates that an entity has an associated theatrical film adaptation, version, or release.
-
E.
hasInteractiveFilm
Indicates that an entity is associated with, offers, or features an interactive film experience.
- 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee884f4504819086bd632e62f02f58 |
completed | April 26, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69e6320043bc81909417c41a718652ba |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:26 p.m.