Triple
T23182837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cash App |
E579506
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Square Cash |
—
|
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: Square Cash | Statement: [Cash App, formerName, Square Cash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Square Cash Context triple: [Cash App, formerName, Square Cash]
-
A.
Cash App
chosen
Cash App is a popular mobile payment and financial services platform that lets users send and receive money, manage a balance, invest in stocks and Bitcoin, and use a linked debit card.
-
B.
Apple Cash
Apple Cash is a digital peer-to-peer payment service by Apple that lets users send, receive, and store money on their Apple devices for use in apps, online, and in stores.
-
C.
Coinbase
Coinbase is a leading U.S.-based cryptocurrency exchange platform that enables individuals and institutions to buy, sell, and store digital assets.
-
D.
DreamPay
DreamPay is a digital payments and financial services brand associated with Indian fantasy sports company Dream Sports.
-
E.
Paymer
Paymer is a surname most notably associated with American character actor David Paymer, known for his extensive work in film and television.
- 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_69e245ff8000819090d12008805315b7 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f705c14819082c8580a03ed6286 |
completed | April 29, 2026, 4:56 a.m. |
Created at: April 17, 2026, 4:05 p.m.