Triple
T29026034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wichtige Begebenheit |
E737593
|
entity |
| Predicate | intendedEvocation |
P2340
|
FINISHED |
| Object | childhood scene |
—
|
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: childhood scene | Statement: [Wichtige Begebenheit, intendedEvocation, childhood scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedEvocation Context triple: [Wichtige Begebenheit, intendedEvocation, childhood scene]
-
A.
intendedEmotion
Indicates the emotion that an action, expression, or communication is meant to evoke in its target, regardless of the actual emotion experienced.
-
B.
designedToEvoke
chosen
Indicates that something was intentionally created or arranged in order to elicit a particular reaction, feeling, or response from an audience or observer.
-
C.
intendedWith
Indicates that one entity is the planned or desired target, recipient, or context for the use or application of another entity.
-
D.
intendsTo
Indicates that one entity has the purpose, plan, or desire to perform an action involving another entity or outcome.
-
E.
intendedPerception
Indicates that one entity is meant or designed to be perceived (e.g., seen, heard, or otherwise sensed) by 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_69f077ef00fc81909325f084ad37c035 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
Created at: April 28, 2026, 9:52 a.m.