Triple
T9800587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Discover Global Network |
E237826
|
entity |
| Predicate | supportsCardType |
P5430
|
FINISHED |
| Object |
Discover card
Discover card is a major U.S.-based credit card brand known for its cash-back rewards, no annual fees on many cards, and operation on its own payment network.
|
E822150
|
NE FINISHED |
How this triple was built (4 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: Discover card | Statement: [Discover Global Network, supportsCardType, Discover card]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Discover card Context triple: [Discover Global Network, supportsCardType, Discover card]
-
A.
The Card
The Card is a comic novel by English writer Arnold Bennett that follows the ambitious rise of the charming and enterprising Edward Henry Machin in the fictional Five Towns.
-
B.
Go-To Card
The Go-To Card is a reusable, contactless smart card used to pay fares on the Minneapolis–Saint Paul METRO transit system.
-
C.
CharlieCard
The CharlieCard is a reusable contactless smart card used to pay fares on Boston's MBTA public transit system.
-
D.
Troika card
The Troika card is a reusable contactless smart card used for paying fares across Moscow’s public transportation system.
-
E.
Card
Card is a surname most notably borne by Andrew Card, a former White House Chief of Staff under U.S. President George W. Bush.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Discover card Triple: [Discover Global Network, supportsCardType, Discover card]
Generated description
Discover card is a major U.S.-based credit card brand known for its cash-back rewards, no annual fees on many cards, and operation on its own payment network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Discover card Target entity description: Discover card is a major U.S.-based credit card brand known for its cash-back rewards, no annual fees on many cards, and operation on its own payment network.
-
A.
The Card
The Card is a comic novel by English writer Arnold Bennett that follows the ambitious rise of the charming and enterprising Edward Henry Machin in the fictional Five Towns.
-
B.
Go-To Card
The Go-To Card is a reusable, contactless smart card used to pay fares on the Minneapolis–Saint Paul METRO transit system.
-
C.
CharlieCard
The CharlieCard is a reusable contactless smart card used to pay fares on Boston's MBTA public transit system.
-
D.
Troika card
The Troika card is a reusable contactless smart card used for paying fares across Moscow’s public transportation system.
-
E.
Card
Card is a surname most notably borne by Andrew Card, a former White House Chief of Staff under U.S. President George W. Bush.
- F. None of above. chosen
Provenance (5 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda62a11a88190880e0cce24923b14 |
completed | April 1, 2026, 11:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c44a652c81908f644e1a5efe3eb1 |
completed | April 5, 2026, 2:09 a.m. |
| NEDg | Description generation | batch_69d1c4fc4cc88190b020f672b9f9ba27 |
completed | April 5, 2026, 2:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1c5a1cfb08190b6c16e5309dbf2b8 |
completed | April 5, 2026, 2:14 a.m. |
Created at: March 30, 2026, 8:29 p.m.