Triple
T19610889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spider-Man: Turn Off the Dark |
E470725
|
entity |
| Predicate | previewCount |
P136461
|
FINISHED |
| Object | over 180 previews |
—
|
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: over 180 previews | Statement: [Spider-Man: Turn Off the Dark, previewCount, over 180 previews]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previewCount Context triple: [Spider-Man: Turn Off the Dark, previewCount, over 180 previews]
-
A.
viewCount
Indicates the number of times something has been viewed or accessed.
-
B.
displayCount
Indicates the number of times something is shown or presented, typically within a given context or interface.
-
C.
bookmarkCount
Indicates the number of times an item has been bookmarked by users.
-
D.
previewStartDate
Indicates the date and time when a preview period for something begins.
-
E.
previewedModel
Indicates that one entity has viewed or examined a model in advance, typically before its official use, release, or finalization.
- F. None of above. chosen
Provenance (4 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640cb180c8190ba96ffb69c24e2e1 |
completed | April 20, 2026, 3:05 p.m. |
| PD | Predicate disambiguation | batch_69e514e166dc8190a0f147e0b4c8bbe7 |
completed | April 19, 2026, 5:46 p.m. |
| PDg | Predicate description generation | batch_69e5174b060c81908937ff9ff7fce611 |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 1:43 p.m.