Triple
T10293131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Cashion |
E241412
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Cashion |
E855847
|
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: Cashion | Statement: [Red Cashion, familyName, Cashion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cashion Context triple: [Red Cashion, familyName, Cashion]
-
A.
Cashion
chosen
Cashion is a surname of likely English or Irish origin borne by various individuals and families.
-
B.
Searcy
Searcy is a surname of English origin borne by various individuals, including American actor Nick Searcy.
-
C.
Worthen
Worthen is a surname and place name of English origin that appears as a variant of the name Worthington.
-
D.
Chickasha
Chickasha is a small city in Grady County, Oklahoma, known historically as a regional agricultural and railroad hub and now home to the University of Science and Arts of Oklahoma.
-
E.
Longbenton
Longbenton is a suburban area in Tyne and Wear, England, situated near Newcastle upon Tyne and known largely as a residential community.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2d46fb08190b7694290692e47dc |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d794d34978819083ce709fa2dcaca7 |
completed | April 9, 2026, noon |
Created at: April 6, 2026, 11:42 a.m.