Triple
T32265600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | other eligible American Express charge and credit cards |
E824274
|
entity |
| Predicate | rewardProgramOperator |
P174876
|
FINISHED |
| Object | American Express |
—
|
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: American Express | Statement: [other eligible American Express charge and credit cards, rewardProgramOperator, American Express]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rewardProgramOperator Context triple: [other eligible American Express charge and credit cards, rewardProgramOperator, American Express]
-
A.
rewardBrand
Indicates that one entity grants or associates a reward with a particular brand.
-
B.
loyaltyProgramOwner
Indicates that one entity is the owner or managing authority of a particular loyalty program associated with another entity.
-
C.
rewardProfile
Indicates the pattern or structure of rewards an entity receives or is expected to receive, such as how, when, and under what conditions rewards are allocated.
-
D.
rewardUse
Indicates that one entity grants or provides a reward in response to the use or utilization of another entity.
-
E.
rewardRedemption
Indicates the act of exchanging accumulated rewards, points, or benefits for goods, services, or other forms of value.
- F. None of above. chosen
Provenance (4 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_69f3490e73588190915f282edd105772 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c90790788190a1ed09adc86ed22d |
completed | May 3, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c814c26c81908f5c47285129ff2a |
completed | May 3, 2026, 3:59 a.m. |
Created at: May 1, 2026, 12:42 a.m.