Triple
T22089217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carolina Shag |
E545868
|
entity |
| Predicate | primaryRoleOfFollower |
P146928
|
FINISHED |
| Object | interprets and embellishes patterns |
—
|
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: interprets and embellishes patterns | Statement: [Carolina Shag, primaryRoleOfFollower, interprets and embellishes patterns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryRoleOfFollower Context triple: [Carolina Shag, primaryRoleOfFollower, interprets and embellishes patterns]
-
A.
principalRoleIn
Indicates that an entity holds the primary or leading role in a particular context, activity, or relationship.
-
B.
primaryRoleOnLine
Indicates that an entity serves as the main or most important role associated with a particular line (such as a transit line, product line, or communication line).
-
C.
primaryUsersRole
Indicates the role that a primary user holds in relation to a given resource, system, or context.
-
D.
currentPrimaryRole
Indicates the role an entity is presently holding as its main or most important function or position.
-
E.
laterPrimaryRole
Indicates that an entity assumes a specified primary role at a later time than another role or state in a sequence.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e47ba08190a208af72a7cc176f |
completed | April 28, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69e71b20ec50819096ac196c798f8e3c |
completed | April 21, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e7222d208c819098b12c13e31af629 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:29 p.m.