Triple
T1795899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Primetime Emmy Awards |
E39601
|
entity |
| Predicate | statueDepicts |
P23770
|
FINISHED |
| Object | winged woman holding an atom |
—
|
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: winged woman holding an atom | Statement: [Primetime Emmy Awards, statueDepicts, winged woman holding an atom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statueDepicts Context triple: [Primetime Emmy Awards, statueDepicts, winged woman holding an atom]
-
A.
statueSubjectRequirement
Indicates that a statue must depict or be associated with a specific required subject or type of subject.
-
B.
statueHeight
Indicates the height measurement of a statue in some specified unit.
-
C.
featuresSculptureOf
chosen
Indicates that one entity includes or displays a sculpture that depicts or represents another entity.
-
D.
notableSculpture
Indicates that an entity is a sculpture for which the subject is especially known or recognized.
-
E.
hasStatue
Indicates that one entity possesses, contains, or is associated with a statue representing or located within it.
- 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_69a88632aa588190ba3978fde0db5bbd |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab61b6ea188190aab9fb839bf1e367 |
completed | March 6, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69aa61d2f7a8819090301f92d3e358c7 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.