Triple
T13578155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke of Urbino |
E324340
|
entity |
| Predicate | hasNotableArtistAtCourt |
P97477
|
FINISHED |
| Object | Raphael |
E16943
|
NE 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: Raphael | Statement: [Duke of Urbino, hasNotableArtistAtCourt, Raphael]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raphael Context triple: [Duke of Urbino, hasNotableArtistAtCourt, Raphael]
-
A.
Raphael
chosen
Raphael was a master Italian High Renaissance painter and architect renowned for his harmonious compositions and influential work in both painting and church design.
-
B.
Raphael
Raphael is an archangel in Judeo-Christian tradition, often associated with healing, guidance, and protection.
-
C.
Raphael
Raphael is a common masculine given name of Hebrew origin meaning "God has healed," borne by numerous notable figures including artists, scientists, and religious leaders.
-
D.
Raphael
Raphael is the hot-headed, sai-wielding Ninja Turtle known for his toughness, impulsive nature, and fierce loyalty to his brothers.
-
E.
Raffaellino da Reggio
Raffaellino da Reggio was a late 16th-century Italian Mannerist painter known for his fresco decorations in prominent Roman palaces and churches.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbe99ddc08190a8d79107c8e176fa |
completed | April 12, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bbbe3c08190a359dfe7c3c8f15c |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.