Triple
T36524754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agent Ginger Ale |
E900270
|
entity |
| Predicate | organizationCounterpartOf |
P53501
|
FINISHED |
| Object | Kingsman |
—
|
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: Kingsman | Statement: [Agent Ginger Ale, organizationCounterpartOf, Kingsman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: organizationCounterpartOf Context triple: [Agent Ginger Ale, organizationCounterpartOf, Kingsman]
-
A.
organizationAssociatedWith
Indicates that there is a formal or recognized connection or affiliation between an organization and another entity.
-
B.
parallelOrganization
chosen
Indicates that two organizations exist or operate in a corresponding, side-by-side, or functionally equivalent manner without one being subordinate to the other.
-
C.
equivalentOrganization
Indicates that two organizations are considered the same or interchangeable for the purposes of identification or function.
-
D.
representedOrganization
Indicates that one entity acts on behalf of, or serves as the official representative of, another organization.
-
E.
organizationDescribedBy
Indicates that an organization is characterized, detailed, or explained by a particular description or document.
- 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_69f76e5eedb88190a393b8c623f71dd7 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd592e48cc81909d754cc6c4bd99ae |
completed | May 8, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69fd58b7f9b881909dc099b28d567784 |
completed | May 8, 2026, 3:30 a.m. |
Created at: May 3, 2026, 4:11 p.m.