Triple
T367069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Pay |
E7983
|
entity |
| Predicate | supportsNetwork |
P203
|
FINISHED |
| Object |
Discover
Discover is a major U.S.-based financial services company best known for its Discover credit card network and related banking products.
|
E46498
|
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 | Statement: [Apple Pay, supportsNetwork, Discover]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Discover Context triple: [Apple Pay, supportsNetwork, Discover]
-
A.
Discovery
Discovery was an English exploration ship most notably used by Henry Hudson during his early 17th-century voyages in search of a Northwest Passage.
-
B.
Discovery
Discovery is a Toronto International Film Festival program that showcases emerging filmmakers and debut or early-career feature films from around the world.
-
C.
World Discovery
World Discovery is a themed land in EPCOT at Walt Disney World focused on science, technology, and futuristic exploration attractions.
-
D.
Search and Discovery
Search and Discovery is a regular Physics Today section that highlights notable recent advances and findings across the physical sciences.
-
E.
iDiscover
iDiscover is the online search and discovery platform used to access Cambridge University’s library collections, including books, journals, and electronic resources.
- 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 Triple: [Apple Pay, supportsNetwork, Discover]
Generated description
Discover is a major U.S.-based financial services company best known for its Discover credit card network and related banking products.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Discover Target entity description: Discover is a major U.S.-based financial services company best known for its Discover credit card network and related banking products.
-
A.
Discovery
Discovery was an English exploration ship most notably used by Henry Hudson during his early 17th-century voyages in search of a Northwest Passage.
-
B.
Discovery
Discovery is a Toronto International Film Festival program that showcases emerging filmmakers and debut or early-career feature films from around the world.
-
C.
World Discovery
World Discovery is a themed land in EPCOT at Walt Disney World focused on science, technology, and futuristic exploration attractions.
-
D.
Search and Discovery
Search and Discovery is a regular Physics Today section that highlights notable recent advances and findings across the physical sciences.
-
E.
iDiscover
iDiscover is the online search and discovery platform used to access Cambridge University’s library collections, including books, journals, and electronic resources.
- 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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ee29ede0819095279af95b53e350 |
completed | Feb. 28, 2026, 1:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3ecaaf780819081db5cfbe8af0894 |
completed | March 1, 2026, 7:37 a.m. |
| NEDg | Description generation | batch_69a3ed33f1c88190b3db7d5626b80981 |
completed | March 1, 2026, 7:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3ed8557e48190893e58e37e2b85d3 |
completed | March 1, 2026, 7:40 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.