Triple
T23101265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Castle |
E576036
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Santo Cilauro |
—
|
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: Santo Cilauro | Statement: [The Castle, writer, Santo Cilauro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santo Cilauro Context triple: [The Castle, writer, Santo Cilauro]
-
A.
Santo Cilauro
chosen
Santo Cilauro is an Australian comedian, actor, writer, producer, and co-founder of the Working Dog production company, known for his work on shows like The Late Show, Frontline, and Utopia.
-
B.
Carmine Recano
Carmine Recano is an Italian actor known for his roles in contemporary Italian cinema and television.
-
C.
Cencio Savelli
Cencio Savelli, later known as Pope Honorius III, was a 13th-century pope noted for supporting the Fifth Crusade and consolidating papal authority in Europe.
-
D.
Antonio Caggiano
Antonio Caggiano was an Argentine cardinal of the Roman Catholic Church who served as Archbishop of Buenos Aires and played a prominent role in mid-20th-century Argentine religious and political life.
-
E.
Antonio Passalia
Antonio Passalia is an actor known for his role in the French psychological thriller film "Le Boucher."
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de8c5b4819095cddf989cade60d |
completed | April 29, 2026, 4:49 a.m. |
Created at: April 17, 2026, 3:58 p.m.