Triple
T9855518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Membership Rewards |
E239574
|
entity |
| Predicate | eligibleUsers |
P83633
|
FINISHED |
| Object | American Express consumer cardholders |
—
|
LITERAL 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: American Express consumer cardholders | Statement: [Membership Rewards, eligibleUsers, American Express consumer cardholders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eligibleUsers Context triple: [Membership Rewards, eligibleUsers, American Express consumer cardholders]
-
A.
eligiblePersons
chosen
Indicates that certain persons meet the required conditions or criteria to qualify for a particular status, benefit, or participation.
-
B.
eligibleMembers
Indicates that certain entities meet the required criteria or conditions to be considered eligible members of a specified group or category.
-
C.
eligibleFrom
Indicates that a subject becomes or is considered eligible starting from a specified point in time or condition.
-
D.
eligiblePurchasers
Indicates that certain entities are permitted or qualified to make a particular purchase under specified rules or conditions.
-
E.
eligibleBeneficiaries
Indicates that certain parties meet the required conditions to receive benefits or entitlements under a given rule or program.
- F. None of above.
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_69ca84e6493081909cf58c8d42ea856b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb39719288190adf45e7c029edd51 |
completed | April 2, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69cd03e57cac8190914bb5ae608a6e0e |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:35 p.m.