Triple
T23440480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Man in the Wall |
E565383
|
entity |
| Predicate | hasSensibility |
P152290
|
FINISHED |
| Object | modernist sensibility |
—
|
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: modernist sensibility | Statement: [The Man in the Wall, hasSensibility, modernist sensibility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSensibility Context triple: [The Man in the Wall, hasSensibility, modernist sensibility]
-
A.
hasSensation
Indicates that an entity experiences or is subject to a particular sensory or perceptual feeling.
-
B.
sensitivityFeature
Indicates a relationship where one entity functions as a sensitivity-related characteristic, parameter, or attribute of another entity.
-
C.
hasSensor
Indicates that one entity is equipped with, contains, or uses a particular sensor.
-
D.
enhancedSense
Indicates that an entity possesses a heightened or improved sensory ability compared to a normal or baseline level.
-
E.
hasSensoryAdaptation
Indicates that an entity possesses a specialized sensory modification or adjustment that enhances its ability to detect, process, or respond to environmental stimuli.
- 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5df28288190936f16b017a20bc0 |
completed | April 29, 2026, 6:31 a.m. |
| PD | Predicate disambiguation | batch_69f061f92da081908e7f1d0cd1e9b01c |
completed | April 28, 2026, 7:30 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:50 p.m.