Triple
T9898507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Model-View-Controller |
E182232
|
entity |
| Predicate | viewResponsibility |
P91056
|
FINISHED |
| Object | render data to the user |
—
|
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: render data to the user | Statement: [Model-View-Controller, viewResponsibility, render data to the user]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewResponsibility Context triple: [Model-View-Controller, viewResponsibility, render data to the user]
-
A.
viewOver
Indicates that one entity has a visual perspective overlooking or facing another entity, typically providing a vantage point onto it.
-
B.
viewsBehaviorAs
Indicates that one entity interprets, judges, or regards another entity’s behavior in a particular way.
-
C.
viewOnAuthority
Indicates how an entity perceives, evaluates, or relates to authority, including attitudes toward obedience, legitimacy, and power structures.
-
D.
viewOnReason
Indicates that one entity holds or expresses a particular opinion, stance, or perspective about a specified reason or justification.
-
E.
viewsWorksAs
Indicates that one entity regards or interprets another entity as functioning in a particular role, capacity, or way of working.
- 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_69ca82876f8081909cf75df0f99bb13f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4ac27d88190b8255f7e616f95c9 |
completed | April 2, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69cd1d872d50819096b7ab166a8decf1 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd3581a9688190a00cef4c3eebb0ae |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:40 p.m.