Triple
T38290935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hercules in art |
E1022359
|
entity |
| Predicate | hasMainAttribute |
P101546
|
FINISHED |
| Object | lion skin |
—
|
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: lion skin | Statement: [Hercules in art, hasMainAttribute, lion skin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainAttribute Context triple: [Hercules in art, hasMainAttribute, lion skin]
-
A.
hasMainKey
Indicates that an entity possesses or is associated with a primary or principal key used for identification or access.
-
B.
hasMainSymbol
chosen
Indicates that one entity is designated as the primary or most representative symbol associated with another entity.
-
C.
hasMainElements
Indicates that something possesses or is composed of its primary or most important constituent parts.
-
D.
hasMainStructure
Indicates that one entity serves as the primary or central structural component of another entity.
-
E.
hasMainArch
Indicates that an entity possesses or features a primary or central arch structure.
- 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_69f76df190f081908d5aa02c8a9286d0 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:30 p.m.