Triple
T12413765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brighton Pierrots |
E296582
|
entity |
| Predicate | has foreground |
P80461
|
FINISHED |
| Object | figures of spectators |
—
|
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: figures of spectators | Statement: [Brighton Pierrots, has foreground, figures of spectators]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: has foreground Context triple: [Brighton Pierrots, has foreground, figures of spectators]
-
A.
hasForegroundElement
chosen
Indicates that one element is positioned or perceived as being in the foreground relative to other elements in a scene or composition.
-
B.
hasBackground
Indicates that an entity possesses or is associated with a particular background, such as context, setting, or prior circumstances.
-
C.
hasFront
Indicates that an entity possesses or is associated with a front-facing side, surface, or portion.
-
D.
hasBackgroundColor
Indicates that an entity possesses or is associated with a specific background color.
-
E.
hasFrontFeature
Indicates that an entity possesses a specific characteristic, component, or attribute located on its front side.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e1888b48190bd750f839a26e99e |
completed | April 10, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69d94d354b488190adc83fb4f2770dd5 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.