Triple
T1832750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Owen King |
E40995
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Owen King |
E40995
|
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: Owen King | Statement: [Owen King, name, Owen King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Owen King Context triple: [Owen King, name, Owen King]
-
A.
Owen King
chosen
Owen King is an American author and the son of novelist Stephen King, known for his own works of fiction and collaborations with his father.
-
B.
Owen Moore
Owen Moore was an Irish-born American silent film actor best known for his early Hollywood work and his tumultuous marriage to screen star Mary Pickford.
-
C.
Christopher Blake
Christopher Blake is a stage play written by American playwright Moss Hart, best known for its dramatic exploration of family and marital conflict.
-
D.
Alexander Haddow
Alexander Haddow was a Scottish epidemiologist and virologist noted for his pioneering research on insect-borne viruses, particularly in Africa.
-
E.
Matthew Talbot
Matthew Talbot was an early 19th-century American politician from Georgia who briefly served as the state's governor and was influential enough that Talbot County was named in his honor.
- 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_69a88647f9388190909bc36e795bdaec |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb024287c8190b68aa070e556a381 |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfb9f3354819097ce858a8706c324 |
completed | March 8, 2026, 10:43 p.m. |
Created at: March 4, 2026, 7:33 p.m.