Triple
T12652760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Cash |
E302204
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Cash |
E117340
|
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: Cash | Statement: [Kevin Cash, familyName, Cash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cash Context triple: [Kevin Cash, familyName, Cash]
-
A.
Cash
chosen
Cash is a common English surname most famously associated with legendary American singer-songwriter Johnny Cash.
-
B.
Cash Corner
Cash Corner is a commercial and residential neighborhood in South Portland, Maine, known historically as a key crossroads and local business hub.
-
C.
Money Bin
The Money Bin is Scrooge McDuck’s massive fortress-like vault filled with his vast fortune, prominently situated on a hill overlooking the fictional city of Duckburg in Disney’s Duck universe.
-
D.
Penig
Penig is a small town in the German state of Saxony, known for its historic architecture and location along the Zwickauer Mulde river.
-
E.
Kassa
Kassa is the historical Hungarian name for the city now known as Košice in eastern Slovakia.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96160730c81909e1aa3efb51bf159 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6688104d48190939933b93b7e60cc |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:18 p.m.