Triple
T38213595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Wolf |
E1010620
|
entity |
| Predicate | appearsAsGraffiti |
P179256
|
FINISHED |
| Object | various locations on Earth |
—
|
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: various locations on Earth | Statement: [Bad Wolf, appearsAsGraffiti, various locations on Earth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsAsGraffiti Context triple: [Bad Wolf, appearsAsGraffiti, various locations on Earth]
-
A.
hasGraffitiBy
chosen
Indicates that an object, surface, or location bears graffiti created by a particular person or agent.
-
B.
GraffitiHouseFunction
Indicates a relationship where a house serves as a site, venue, or functional setting for graffiti-related activities or purposes.
-
C.
streetArt
Indicates that an entity creates, displays, or is associated with artistic works placed in public urban spaces, typically on streets or buildings.
-
D.
hasStreetArtStyle
Indicates that something exhibits characteristics or aesthetics associated with a particular style of street art.
-
E.
hasMuralsDepicting
Indicates that one entity contains or features murals that visually represent or portray 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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fee0b2da3c8190a3519d0564f2f32d |
completed | May 9, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69fee05b315c819081dfcbfb15273487 |
completed | May 9, 2026, 7:20 a.m. |
Created at: May 3, 2026, 4:30 p.m.