Triple
T11678811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baron Blood |
E277560
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Mario Bava |
E940508
|
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: Mario Bava | Statement: [Baron Blood, screenwriter, Mario Bava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mario Bava Context triple: [Baron Blood, screenwriter, Mario Bava]
-
A.
Mario Bava
chosen
Mario Bava was an influential Italian filmmaker and cinematographer, best known as a pioneer of the giallo and horror genres whose highly stylized visuals shaped modern genre cinema.
-
B.
Eusebio Bava
Eusebio Bava was a 19th-century Italian general and statesman who played a key role in the military campaigns leading up to the unification of Italy.
-
C.
Jorge Bava
Jorge Bava is a Uruguayan former professional goalkeeper who became a football manager, known for coaching clubs in Latin American leagues.
-
D.
Fiorenzo Bava Beccaris
Fiorenzo Bava Beccaris was an Italian general best known for brutally suppressing the 1898 Milan bread riots, an event that became infamous as the Bava Beccaris massacre.
-
E.
Dario Argento
Dario Argento is an Italian filmmaker renowned as a master of giallo and horror cinema, known for his visually stylized, psychologically intense thrillers.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a46000a48190888ad1a6ade052e3 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef82f515408190b21f1c7b207a2f0d |
completed | April 27, 2026, 3:38 p.m. |
Created at: April 8, 2026, 9:40 p.m.