Triple
T25006886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Can Get Them for You Wholesale |
E625863
|
entity |
| Predicate | hasMotiveForUsingService |
P21011
|
FINISHED |
| Object | desire for revenge on unfaithful girlfriend |
—
|
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: desire for revenge on unfaithful girlfriend | Statement: [We Can Get Them for You Wholesale, hasMotiveForUsingService, desire for revenge on unfaithful girlfriend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMotiveForUsingService Context triple: [We Can Get Them for You Wholesale, hasMotiveForUsingService, desire for revenge on unfaithful girlfriend]
-
A.
hasServiceTo
Indicates that one entity provides, offers, or operates a service for or directed toward another entity.
-
B.
usedForService
Indicates that one entity is employed, utilized, or designated to perform, support, or provide a particular service for another entity.
-
C.
reasonForUse
chosen
Indicates that one entity specifies the justification, purpose, or motivation for using another entity.
-
D.
hasSupportService
Indicates that one entity provides or is associated with a support-related service for another entity.
-
E.
canUse
Indicates that one entity has the ability, permission, or suitability to make use of another entity or resource.
- 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_69e2ff26c50481908bc82e799c9e6587 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f5ffc74fa481909b4fe24a9337f9eb |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7f99dc08190afcfb3bc4dfbec1d |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 18, 2026, 6:05 a.m.