Triple
T35914609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Roaring Lion |
E1038708
|
entity |
| Predicate | photographerEthnicity |
P136184
|
FINISHED |
| Object | Armenian-Canadian |
—
|
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: Armenian-Canadian | Statement: [The Roaring Lion, photographerEthnicity, Armenian-Canadian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: photographerEthnicity Context triple: [The Roaring Lion, photographerEthnicity, Armenian-Canadian]
-
A.
hasPhotographerNationality
Indicates that a photographer is associated with a specific nationality.
-
B.
photographer
Indicates that one entity takes photographs of another entity, typically in a professional or intentional capacity.
-
C.
artistEthnicity
chosen
Indicates that an artist has a specific ethnic background or affiliation.
-
D.
photographerProfession
Indicates that one entity has the profession or occupation of being a photographer.
-
E.
usesPhotographyFrom
Indicates that one entity employs or incorporates photographic material originating from 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaa413888190b48c8be3d6629ba4 |
completed | May 3, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:07 p.m.