Triple
T32668089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umbrella Girl |
E835211
|
entity |
| Predicate | depictionEnvironment |
P23992
|
FINISHED |
| Object | rainstorm |
—
|
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: rainstorm | Statement: [Umbrella Girl, depictionEnvironment, rainstorm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictionEnvironment Context triple: [Umbrella Girl, depictionEnvironment, rainstorm]
-
A.
depictionContext
chosen
Indicates the situational or environmental setting in which something is depicted or represented.
-
B.
placeOfDepiction
Indicates the location or setting where the depicted subject is shown as being situated in the representation.
-
C.
workEnvironmentDepiction
Indicates a depiction or representation of the conditions, atmosphere, or setting in which work or professional activities take place.
-
D.
sceneDepicts
Indicates that a scene visually represents or portrays a particular entity, event, or situation.
-
E.
depictionDetail
Indicates that one depiction provides additional detail, refinement, or a closer view of what is shown in another depiction.
- 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_69f349303ccc8190a70d0f6e8a21d3fb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 1, 2026, 1:08 a.m.