Triple
T20437961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Honeysuckle Bower |
E501304
|
entity |
| Predicate | depictsMotive |
P140132
|
FINISHED |
| Object | honeysuckle bower |
—
|
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: honeysuckle bower | Statement: [The Honeysuckle Bower, depictsMotive, honeysuckle bower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsMotive Context triple: [The Honeysuckle Bower, depictsMotive, honeysuckle bower]
-
A.
hasMotiveOfCriminals
Indicates that the specified motive is attributed to or associated with the criminals in question.
-
B.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
-
C.
typicallyDepicts
Indicates that one entity is most commonly or characteristically portrayed or represented by the other in depictions or images.
-
D.
depictsMood
Indicates that one entity visually represents or conveys the emotional state or mood of another entity.
-
E.
intendedToDepict
Indicates that one entity was purposefully created or selected in order to visually represent or portray another entity.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685f042988190948253a3d2ee4e9e |
completed | April 20, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69e5766df0008190a73c4f613c29678f |
completed | April 20, 2026, 12:42 a.m. |
| PDg | Predicate description generation | batch_69e58d766b408190a1d3698145fb6d30 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:31 a.m.