Triple
T37597476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seminole woman scattering flowers |
E935430
|
entity |
| Predicate | actionDepicted |
P6944
|
FINISHED |
| Object | scattering flowers |
—
|
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: scattering flowers | Statement: [Seminole woman scattering flowers, actionDepicted, scattering flowers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: actionDepicted Context triple: [Seminole woman scattering flowers, actionDepicted, scattering flowers]
-
A.
depictionAction
Indicates an action in which one entity visually represents, illustrates, or portrays another entity.
-
B.
action
chosen
Indicates that an entity performs, carries out, or engages in a particular activity or deed in relation to another entity or context.
-
C.
act
Indicates the performance or execution of an action or behavior by an entity.
-
D.
dramaticAction
Indicates an action or event characterized by heightened emotion, tension, or significance that drives or intensifies a dramatic situation or narrative.
-
E.
actsOn
Indicates that one entity performs an action that affects, targets, or is directed toward 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_69f76ecf39c081909baffe597bb55273 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.