Triple
T29842427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dying Swan |
E757836
|
entity |
| Predicate | iconicInterpreter |
P1044
|
FINISHED |
| Object | Anna Pavlova |
—
|
NE NERFINISHED |
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: Anna Pavlova | Statement: [The Dying Swan, iconicInterpreter, Anna Pavlova]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iconicInterpreter Context triple: [The Dying Swan, iconicInterpreter, Anna Pavlova]
-
A.
interpreter
Indicates that one entity serves to translate or render the meaning of another entity (such as language, code, or symbols) into an understandable or executable form.
-
B.
eraInterpreted
Indicates that one entity has been interpreted, understood, or given meaning by another entity.
-
C.
isInterpretedBy
chosen
Indicates that something (such as data, a work, or a signal) is given meaning, understanding, or explanation by a particular agent or process.
-
D.
isIconicIn
Indicates that something is widely recognized as a defining or emblematic example within a particular context, domain, or location.
-
E.
HnInterpretation
Indicates that one entity serves as an interpretation, explanation, or semantic mapping of another entity (such as a text, symbol, or data).
- 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_69f224593f6c81908785a560fe659f58 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6760b3d6081909d0e3748483989a4 |
completed | May 2, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69f66ac32b60819092290b2de35988d3 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 29, 2026, 5:40 p.m.