Triple
T5163638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Statue of Antinoos from Delphi |
E116495
|
entity |
| Predicate | depictsStatus |
P50333
|
FINISHED |
| Object | deified figure |
—
|
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: deified figure | Statement: [Statue of Antinoos from Delphi, depictsStatus, deified figure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsStatus Context triple: [Statue of Antinoos from Delphi, depictsStatus, deified figure]
-
A.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
-
B.
depictsAttribute
Indicates that one entity visually represents or illustrates a specific attribute or characteristic of another entity.
-
C.
portraysState
chosen
Indicates that one entity visually or symbolically represents or depicts the condition, status, or situation of another entity.
-
D.
depictsName
Indicates that something visually represents or portrays the name of an entity.
-
E.
seeStatus
Indicates that one entity observes or becomes aware of the current state or condition of another entity or process.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7927a348819082ad531955cdf30d |
completed | March 20, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69bd77b36c008190b91011a9fa52b3d2 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:44 p.m.