Triple
T29136278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hunter |
E738518
|
entity |
| Predicate | facialMarking |
P125456
|
FINISHED |
| Object | skull-shaped tattoo on face |
—
|
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: skull-shaped tattoo on face | Statement: [Hunter, facialMarking, skull-shaped tattoo on face]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: facialMarking Context triple: [Hunter, facialMarking, skull-shaped tattoo on face]
-
A.
facialMarkings
chosen
Indicates that one entity has distinctive marks, patterns, or features on its face in relation to another entity or context.
-
B.
hasFacePaintColor
Indicates that an entity’s face paint is of a specified color.
-
C.
isOnFace
Indicates that one entity is located directly on the surface or face of another entity.
-
D.
gravesMarking
Indicates that certain graves serve as markers or indicators for specific individuals, events, or locations.
-
E.
hasFacialSkinColor
Indicates that one entity has a specific facial skin color characterized or attributed 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_69f07cb3adb48190a9e0e169cd026634 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6626ac7508190959be92ac34c33ac |
completed | May 2, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 11:34 a.m.