Triple
T17454746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kupferstichkabinett |
E424999
|
entity |
| Predicate | hasWorkBy |
P12366
|
FINISHED |
| Object | Michelangelo |
—
|
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: Michelangelo | Statement: [Kupferstichkabinett, hasWorkBy, Michelangelo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michelangelo Context triple: [Kupferstichkabinett, hasWorkBy, Michelangelo]
-
A.
Michelangelo
chosen
Michelangelo was a Renaissance master renowned as a sculptor, painter, and architect, celebrated for works such as the Sistine Chapel ceiling and the design of major religious structures in Rome.
-
B.
Michelangelo
Michelangelo is the fun-loving, pizza-obsessed, nunchuck-wielding Ninja Turtle known for his goofy humor and carefree attitude.
-
C.
Michelangelo dei Conti
Michelangelo dei Conti, better known as Pope Innocent XIII, was an 18th-century Italian pope who led the Catholic Church from 1721 to 1724.
-
D.
Miguel Ángel
Miguel Ángel is a Spanish businessman best known as the CEO and majority shareholder of Atlético Madrid football club.
-
E.
Lorenzo Quinn
Lorenzo Quinn is an Italian sculptor and former actor renowned for his expressive figurative sculptures, often exploring themes of love, faith, and the human condition.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4514129f08190ae7581d2915a0373 |
completed | April 19, 2026, 3:51 a.m. |
Created at: April 10, 2026, 5:47 a.m.