Triple
T19556135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raymond Keene |
E489316
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Keene |
—
|
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: Keene | Statement: [Raymond Keene, familyName, Keene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keene Context triple: [Raymond Keene, familyName, Keene]
-
A.
Keene
Keene is a small unincorporated community in Kern County, California, historically associated with the United Farm Workers and labor leader César Chávez.
-
B.
Keene
Keene is a small community in Ontario, Canada, known for its rural character and proximity to Rice Lake.
-
C.
Keene, New York
Keene, New York is a small town in the Adirondack Mountains known for its scenic wilderness, hiking trails, and outdoor recreation opportunities.
-
D.
Newfane
Newfane is a small historic town in southeastern Vermont that serves as the county seat of Windham County.
-
E.
Seymour
Seymour is a masculine given name of English origin that has been borne by various notable figures in fields such as business, politics, and the arts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d341d708190b8ef35822f8bfe7c |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 10, 2026, 1:42 p.m.