Triple
T22626164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Untitled (to you, Heiner, with admiration and affection) |
E558422
|
entity |
| Predicate | usesLightAsMedium |
P114137
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Untitled (to you, Heiner, with admiration and affection), usesLightAsMedium, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesLightAsMedium Context triple: [Untitled (to you, Heiner, with admiration and affection), usesLightAsMedium, true]
-
A.
illuminationMedium
chosen
Indicates the medium or method through which illumination or light is produced or delivered in a given context.
-
B.
canLight
Indicates that one entity has the ability or capacity to provide or emit light to another entity or environment.
-
C.
preferredLight
Indicates that one entity favors or is best suited to a particular lighting condition or level of illumination.
-
D.
lightType
Indicates the specific category or kind of light associated with an entity or lighting setup.
-
E.
usedMedium
Indicates that an action or communication was carried out through a particular medium or channel.
- 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e3d55b081908930ebff4372154f |
completed | April 29, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69ee62855558819080da946c7b35a160 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 3:01 p.m.