Triple
T18259626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Blood |
E437313
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Rafael Sabatini |
—
|
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: Rafael Sabatini | Statement: [Peter Blood, creator, Rafael Sabatini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rafael Sabatini Context triple: [Peter Blood, creator, Rafael Sabatini]
-
A.
Rafael Sabatini
chosen
Rafael Sabatini was an Italian-English author best known for his swashbuckling historical adventure novels such as "Scaramouche" and "Captain Blood."
-
B.
Francesco Sabatini
Francesco Sabatini was an 18th-century Italian-born architect who became a leading figure in Spanish Neoclassical architecture under King Charles III.
-
C.
Aurelio Saffi
Aurelio Saffi was an Italian politician and republican patriot who played a leading role in the Risorgimento and later became a prominent advocate for democratic and nationalist causes.
-
D.
Valerio Bonelli
Valerio Bonelli is a film editor known for his work on acclaimed movies such as "Philomena."
-
E.
Rafael Sabatini Jr.
Rafael Sabatini Jr. was the son of Italian-English novelist Rafael Sabatini, known primarily in relation to his famous father's literary legacy.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd89899c8190b8b652c4f61aa5cf |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:34 a.m.