Triple
T23842733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Project Method |
E591030
|
entity |
| Predicate | viewsStudentAs |
P49769
|
FINISHED |
| Object | active participant |
—
|
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: active participant | Statement: [The Project Method, viewsStudentAs, active participant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewsStudentAs Context triple: [The Project Method, viewsStudentAs, active participant]
-
A.
viewsLearnerAs
chosen
Indicates that one entity perceives, regards, or treats another entity specifically in the role of a learner.
-
B.
viewsClientAs
Indicates that one entity regards or treats another entity as a client within a service, business, or professional relationship.
-
C.
viewsAs
Indicates that one entity perceives, interprets, or regards another entity in a particular way or role.
-
D.
viewsBehaviorAs
Indicates that one entity interprets, judges, or regards another entity’s behavior in a particular way.
-
E.
viewsAliAs
Indicates that one entity holds a particular perception, opinion, or characterization of Ali.
- 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_69e25d1de32c8190a907afe9c3d6cd6d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c8898a0c8190b4d55852fc30260f |
completed | April 29, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:09 p.m.