Triple
T31545863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Act II (Lohengrin) |
E804869
|
entity |
| Predicate | questionMotif |
P41002
|
FINISHED |
| Object | prohibition on asking Lohengrin’s name and origin |
—
|
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: prohibition on asking Lohengrin’s name and origin | Statement: [Act II (Lohengrin), questionMotif, prohibition on asking Lohengrin’s name and origin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: questionMotif Context triple: [Act II (Lohengrin), questionMotif, prohibition on asking Lohengrin’s name and origin]
-
A.
featuresMotif
chosen
Indicates that something contains, incorporates, or prominently includes a particular recurring motif or pattern.
-
B.
questionFormulation
Indicates that one entity formulates, poses, or expresses a question directed toward another entity or context.
-
C.
questionConveyedBy
Indicates that a particular question is expressed, communicated, or represented by a given medium, message, or artifact.
-
D.
questionTopic
Indicates that a question is about, concerns, or is primarily focused on a particular topic or subject.
-
E.
usesMotifsFrom
Indicates that one entity incorporates or draws upon recurring themes, patterns, or elements that originate from another entity.
- 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_69f348d11a048190a65eb8384a3754ac |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 10:08 p.m.