Triple
T8243108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oy |
E192783
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Stephen King |
E5939
|
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: Stephen King | Statement: [Oy, creator, Stephen King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen King Context triple: [Oy, creator, Stephen King]
-
A.
Stephen King
chosen
Stephen King is a prolific American author renowned for his horror, supernatural fiction, suspense, and fantasy novels, many of which have been adapted into successful films and television series.
-
B.
Steve King
Steve King is a former Republican U.S. Representative from Iowa known for his hardline conservative positions and controversial remarks on immigration and race.
-
C.
Dean Koontz
Dean Koontz is a bestselling American author known for his suspenseful thrillers that blend horror, mystery, and science fiction elements.
-
D.
William Peter Blatty
William Peter Blatty was an American writer and filmmaker best known as the author and screenwriter of the horror classic "The Exorcist."
-
E.
Joe Hill
Joe Hill is an American author known for his horror and dark fantasy novels and comics, and is the son of writer Stephen King.
- 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_69cd351871ac81909f8e4a72a6b99ac3 |
completed | April 1, 2026, 3:09 p.m. |
Created at: March 30, 2026, 5:47 p.m.