Triple
T8242780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | It Chapter Two |
E192775
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Rideback |
E409657
|
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: Rideback | Statement: [It Chapter Two, productionCompany, Rideback]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rideback Context triple: [It Chapter Two, productionCompany, Rideback]
-
A.
Rideback
chosen
Rideback is a film and television production company founded by producer Dan Lin, known for backing major Hollywood franchises and high-profile studio projects.
-
B.
Cavalli
Cavalli is the stage name of Francesco Cavalli, a prominent 17th-century Italian composer known for his influential early operas in Venice.
-
C.
Vacallo
Vacallo is a small municipality in the canton of Ticino in southern Switzerland, located near the Italian border.
-
D.
Cavalla
Cavalla is a historic port city on the Aegean Sea in northern Greece, known today as Kavala and noted for its strategic location and Ottoman-era heritage.
-
E.
Rider
Rider is a cross-platform integrated development environment by JetBrains, widely used for .NET and C# development.
- 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb786f65708190a92ec282b280c813 |
completed | March 31, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd3521bfb48190935fe82a1f768adc |
completed | April 1, 2026, 3:09 p.m. |
Created at: March 30, 2026, 5:47 p.m.