Triple
T30106189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Summerspace |
E765137
|
entity |
| Predicate | costumeAndSetDesigner |
P36430
|
FINISHED |
| Object | Robert Rauschenberg |
—
|
NE NERFINISHED |
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: Robert Rauschenberg | Statement: [Summerspace, costumeAndSetDesigner, Robert Rauschenberg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: costumeAndSetDesigner Context triple: [Summerspace, costumeAndSetDesigner, Robert Rauschenberg]
-
A.
costumeDesignerOfWork
Indicates that an entity serves as the costume designer responsible for the costumes in a particular creative work.
-
B.
stageDesigner
Indicates that one entity is responsible for designing or creating the stage or set for a performance or event in relation to another entity.
-
C.
designedCostumesFor
chosen
Indicates that one entity created or planned the costumes used by another entity, typically for a performance, production, or event.
-
D.
costumeDesignEmphasisOn
Indicates that a costume design places particular focus or priority on a specified element, style, feature, or thematic aspect.
-
E.
stageCostume
Indicates that one entity is a costume specifically used or worn for a performance or stage production by 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_69f22475ad7c8190be7f9541044a0bbb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67dbaf34c8190b9ce6f3d9cbad03d |
completed | May 2, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:09 p.m.