Triple
T4663418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiver (2012 film) |
E102787
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Shiver |
E102787
|
NE 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: Shiver | Statement: [Shiver (2012 film), title, Shiver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shiver Context triple: [Shiver (2012 film), title, Shiver]
-
A.
Shiver
chosen
Shiver is a thriller film featuring actor Casper Van Dien in a prominent role.
-
B.
Shiver (novel)
Shiver (novel) is a young adult paranormal romance book by Maggie Stiefvater that follows the intense, bittersweet relationship between a girl and a boy who turns into a wolf each winter.
-
C.
Shivers
Shivers is a trance music track and album by Dutch DJ and producer Armin van Buuren, widely regarded as one of his signature works in the electronic dance music scene.
-
D.
Midnight Sun
Midnight Sun is a natural phenomenon occurring in polar regions where the sun remains visible at local midnight during the summer months.
-
E.
Midnight Sun
Midnight Sun is a companion novel to Stephenie Meyer’s Twilight, retelling the original story from Edward Cullen’s perspective.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd632d6150819085bab97021c0235a |
completed | March 20, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be104581548190b3f2a294770015fa |
completed | March 21, 2026, 3:28 a.m. |
Created at: March 20, 2026, 1:15 p.m.