Triple
T35806227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Brahma Bull |
E1035106
|
entity |
| Predicate | hasTattooVersionOn |
P31179
|
FINISHED |
| Object | Dwayne Johnson's right arm |
—
|
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: Dwayne Johnson's right arm | Statement: [The Brahma Bull, hasTattooVersionOn, Dwayne Johnson's right arm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTattooVersionOn Context triple: [The Brahma Bull, hasTattooVersionOn, Dwayne Johnson's right arm]
-
A.
hasTattoo
chosen
Indicates that one entity bears a tattoo on their body.
-
B.
hasTattooStyle
Indicates that an entity possesses or is associated with a particular style or type of tattoo.
-
C.
hasTourVersion
Indicates that one entity is a specific tour-related version or variant of another entity.
-
D.
hasVersionIn
Indicates that one entity exists as a specific version or variant within the context, format, or system represented by another entity.
-
E.
hasExhibitionVersion
Indicates that one entity serves as an exhibition-specific version or variant 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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:06 p.m.