Triple
T10354398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mollye Asher |
E243959
|
entity |
| Predicate | producerOf |
P490
|
FINISHED |
| Object | The Rider |
E857950
|
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: The Rider | Statement: [Mollye Asher, producerOf, The Rider]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Rider Context triple: [Mollye Asher, producerOf, The Rider]
-
A.
The Rider
chosen
The Rider is a critically acclaimed 2017 American drama film that blends fiction and reality to portray a young cowboy’s struggle to redefine his identity after a life-changing rodeo injury.
-
B.
Rider
Rider, also known as Iskandar or Alexander the Great, is the charismatic and boisterous Servant of Waver Velvet in Fate/Zero, renowned for his overwhelming Noble Phantasm and kingly charisma.
-
C.
Rider
Rider is a British publishing imprint known for releasing works on spirituality, personal development, and thought-provoking non-fiction.
-
D.
Rider
Rider is a cross-platform integrated development environment by JetBrains, widely used for .NET and C# development.
-
E.
The Mysterious Rider
The Mysterious Rider is a 1938 American Western film, based on a Zane Grey story, featuring Martha Vickers in one of her early screen roles.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e952c878819084e5d7a593a3f9e9 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89f53484881909fb976efb3882b9b |
completed | April 10, 2026, 6:57 a.m. |
Created at: April 6, 2026, 11:58 a.m.