Triple
T29510143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zildjian Cymbals |
E748624
|
entity |
| Predicate | hasEndorsementProgram |
P180794
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Zildjian Cymbals, hasEndorsementProgram, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEndorsementProgram Context triple: [Zildjian Cymbals, hasEndorsementProgram, true]
-
A.
hasAwardProgram
Indicates that an entity maintains or offers a formal award or recognition program.
-
B.
hasCustomerPrograms
Indicates that an entity offers or is associated with specific customer-focused programs, such as loyalty, rewards, or special service initiatives.
-
C.
hasMembershipProgram
Indicates that an entity offers or participates in a structured membership program, typically providing special access, benefits, or services to enrolled members.
-
D.
hasContributorProgram
Indicates that an entity operates or participates in a formal program through which contributors can submit work, content, or support.
-
E.
hasPartnershipProgram
Indicates that an entity maintains a formal partnership program through which it establishes and manages collaborative relationships with other entities.
- 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_69f0bd461c208190bec20bbf24e02cc5 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f7516d5b4081908588a6feb541f355 |
completed | May 3, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
| PDg | Predicate description generation | batch_69f7516c538481908c6e55cf76add098 |
completed | May 3, 2026, 1:45 p.m. |
Created at: April 28, 2026, 4:31 p.m.