Triple
T20977039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renaissance political theory |
E516652
|
entity |
| Predicate | hasKeyWork |
P6200
|
FINISHED |
| Object | The Prince |
—
|
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: The Prince | Statement: [Renaissance political theory, hasKeyWork, The Prince]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Prince Context triple: [Renaissance political theory, hasKeyWork, The Prince]
-
A.
The Prince
The Prince is an animated satirical television series that humorously depicts the British royal family from the perspective of a fictionalized young Prince George, created by writer and producer Gary Janetti.
-
B.
The Prince
chosen
The Prince is a 16th-century political treatise by Niccolò Machiavelli that analyzes power, statecraft, and pragmatic, sometimes ruthless, leadership.
-
C.
The Prince
The Prince is the noble royal figure in Disney's "Snow White and the Seven Dwarfs" who falls in love with Snow White and ultimately awakens her with a kiss.
-
D.
The Prince
The Prince is a musical artist best known for performing the song "One Song."
-
E.
The Prince
The Prince is the central royal protagonist in Sergei Prokofiev’s satirical opera “The Love for Three Oranges,” whose quest to find three magical oranges drives the fantastical plot.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fba4a0dc819083b90795d26adfff |
completed | April 21, 2026, 4:23 a.m. |
Created at: April 16, 2026, 1:47 p.m.