Triple
T12413743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brighton Pierrots |
E296582
|
entity |
| Predicate | depicts setting |
P1581
|
FINISHED |
| Object | English seaside resort |
—
|
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: English seaside resort | Statement: [Brighton Pierrots, depicts setting, English seaside resort]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depicts setting Context triple: [Brighton Pierrots, depicts setting, English seaside resort]
-
A.
portrayedInSetting
Indicates that an entity is depicted or represented within a particular setting, environment, or context.
-
B.
depicts
chosen
Indicates that one entity visually represents, portrays, or shows another entity.
-
C.
placeOfSetting
Indicates the location or environment where an event, scene, or situation takes place.
-
D.
placeOfDepiction
Indicates the location or setting where the depicted subject is shown as being situated in the representation.
-
E.
depictsView
Indicates that one entity visually represents or portrays the view, scene, or perspective of 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_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.