Triple
T27739795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ami James |
E701820
|
entity |
| Predicate | hasTattooStyle |
P166193
|
FINISHED |
| Object | Japanese-inspired tattoos |
—
|
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: Japanese-inspired tattoos | Statement: [Ami James, hasTattooStyle, Japanese-inspired tattoos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTattooStyle Context triple: [Ami James, hasTattooStyle, Japanese-inspired tattoos]
-
A.
hasTattoo
Indicates that one entity bears a tattoo on their body.
-
B.
hasNotableTattooArtist
Indicates that an entity is associated with a tattoo artist who is recognized as notable or distinguished.
-
C.
hasStreetArtStyle
Indicates that something exhibits characteristics or aesthetics associated with a particular style of street art.
-
D.
hasSculptureStyle
Indicates that a sculpture is created in, or associated with, a particular artistic style or sculptural tradition.
-
E.
hasComicStyle
Indicates that one entity is characterized by, presented in, or associated with a particular comic or cartoon-like visual style defined by the other entity.
- 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_69ef6a53c7388190899baa6daf42301c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f66003a3f48190a2ba6da5aafbb5cb |
completed | May 2, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65f75ac608190a62cd6afce14f68e |
completed | May 2, 2026, 8:32 p.m. |
Created at: April 27, 2026, 4:09 p.m.