Triple
T17335341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabine Wren |
E420920
|
entity |
| Predicate | creativeOutlet |
P127057
|
FINISHED |
| Object | tagging Imperial property with graffiti |
—
|
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: tagging Imperial property with graffiti | Statement: [Sabine Wren, creativeOutlet, tagging Imperial property with graffiti]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creativeOutlet Context triple: [Sabine Wren, creativeOutlet, tagging Imperial property with graffiti]
-
A.
artSpecialty
Indicates that an entity’s primary focus, expertise, or specialization is in a particular art form or artistic domain.
-
B.
artCategory
Indicates the classification relationship where an artwork is assigned to a particular artistic category or genre.
-
C.
creativeMethod
Indicates the technique, approach, or process used to produce or carry out a creative work or activity.
-
D.
traditionalCraft
Indicates that an entity is associated with or practices a craft or skill that is rooted in long-established, culturally transmitted traditions.
-
E.
artisticMedium
Indicates the material or technique used to create an artwork or artistic expression.
- F. None of above. chosen
Provenance (4 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a1125d88190b67243b30d93ce1c |
completed | April 19, 2026, 2:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b021a5bc81909ae55406f9d0b37f |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a225b08190a50f984caa6513b9 |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:43 a.m.