Triple
T4320278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raphael Rooms |
E96496
|
entity |
| Predicate | decoratedBy |
P23430
|
FINISHED |
| Object | Raphael’s workshop |
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’s workshop | Statement: [Raphael Rooms, decoratedBy, Raphael’s workshop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raphael’s workshop Context triple: [Raphael Rooms, decoratedBy, Raphael’s workshop]
-
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.
Pinturicchio
Pinturicchio was an Italian Renaissance painter known for his richly decorated frescoes in Rome and other Italian cities.
-
D.
Domenico Ghirlandaio
Domenico Ghirlandaio was a prominent Italian Renaissance painter of the Florentine school, renowned for his detailed fresco cycles and as the teacher of Michelangelo.
-
E.
Cosimo Rosselli
Cosimo Rosselli was a 15th-century Italian Renaissance painter known for his frescoes in the Sistine Chapel and his work in Florence.
- 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_69b345422aac81909ddbadae437d122e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35114ed2c8190949c5d8032d7b921 |
completed | March 12, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d08d70408190aca5793a480cf54f |
completed | March 14, 2026, 9:18 p.m. |
Created at: March 12, 2026, 11:12 p.m.