Triple
T22468753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenneth Lewis Anderson |
E555430
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Lewis |
—
|
NE NERFINISHED |
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: Lewis | Statement: [Kenneth Lewis Anderson, middleName, Lewis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lewis Context triple: [Kenneth Lewis Anderson, middleName, Lewis]
-
A.
Lewis
"Lewis" is a notable film or television work featuring British actor Edward Fox, recognized as part of his distinguished acting career.
-
B.
Lewis
chosen
Lewis is a common English surname borne by numerous notable individuals across politics, civil rights, arts, and sports.
-
C.
Lewis
Lewis is the largest island of the Outer Hebrides in Scotland, known for its rugged coastline, Gaelic culture, and ancient archaeological sites such as the Callanish standing stones.
-
D.
Lewis
Lewis is an author known for writing the novel "Only Time Will Tell."
-
E.
Lewis
Lewis is the inventive, orphaned boy protagonist of Disney's animated film "Meet the Robinsons," whose time-traveling adventure leads him to discover the importance of family and perseverance.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15bdda62c8190937ac13a4481b4b7 |
completed | April 29, 2026, 1:16 a.m. |
Created at: April 16, 2026, 8:48 p.m.