Triple
T12413763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brighton Pierrots |
E296582
|
entity |
| Predicate | depicts environment |
P1581
|
FINISHED |
| Object | open‑air seaside stage |
—
|
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: open‑air seaside stage | Statement: [Brighton Pierrots, depicts environment, open‑air seaside stage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depicts environment Context triple: [Brighton Pierrots, depicts environment, open‑air seaside stage]
-
A.
depicts
chosen
Indicates that one entity visually represents, portrays, or shows another entity.
-
B.
environmentalMedium
Indicates the environmental context or medium (such as air, water, or soil) through which a substance, effect, or process occurs or is present.
-
C.
workEnvironmentDepiction
Indicates a depiction or representation of the conditions, atmosphere, or setting in which work or professional activities take place.
-
D.
ecosystemRepresentation
Indicates that one entity serves as a model, depiction, or abstraction of an ecosystem, capturing its components, structure, or dynamics.
-
E.
environmentType
Indicates the kind or category of environment associated with an entity or situation.
- 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.