Triple
T17434708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose Art Museum |
E423970
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Edward Rose |
—
|
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: Edward Rose | Statement: [Rose Art Museum, namedAfter, Edward Rose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edward Rose Context triple: [Rose Art Museum, namedAfter, Edward Rose]
-
A.
Edward Rose
chosen
Edward Rose was a benefactor whose contributions and legacy led to the naming of the Rose Art Museum at Brandeis University in his honor.
-
B.
Thomas of Windsor
Thomas of Windsor was an English royal of the 14th century, a younger son of King Edward III and Queen Philippa of Hainault.
-
C.
Isabella Windsor
Isabella Windsor is a member of the extended British royal family, known as a relative of Maud Windsor.
-
D.
Eleonor Magdalene
Eleonor Magdalene was a 17th–18th century Holy Roman Empress and Queen of Hungary and Bohemia, known for her piety and influence at the Habsburg court.
-
E.
Louise Mary Rose
Louise Mary Rose was the first wife of New Zealand mountaineer Sir Edmund Hillary and the mother of two of his children.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4490361c081908fd24f9a812f212c |
completed | April 19, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.