Triple
T12820359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Nitti |
E306511
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Frank Nitto |
E376915
|
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: Frank Nitto | Statement: [Frank Nitti, alsoKnownAs, Frank Nitto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank Nitto Context triple: [Frank Nitti, alsoKnownAs, Frank Nitto]
-
A.
Frank Nitto
chosen
Frank Nitto was an American mobster who became a leading figure in Al Capone’s Chicago Outfit during the Prohibition era.
-
B.
Frank Santillo
Frank Santillo was an American film editor known for his work on numerous Hollywood productions, including classic Westerns.
-
C.
Frank Tagliano
Frank Tagliano is the fictional New York mobster-turned-relocated witness protection figure portrayed by Steven Van Zandt in the Norwegian-American TV series "Lilyhammer."
-
D.
Frank Zito
Frank Zito is a disturbed, psychopathic serial killer who obsessively stalks and murders women in the horror film "Maniac."
-
E.
Anthony Maraschi
Anthony Maraschi was a 19th-century Italian Jesuit priest who played a key role in establishing Catholic education in California, most notably by founding the institution that became the University of San Francisco.
- 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e9e5a2481908921d097df541db8 |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a1a97748190992fe28c6411c4de |
completed | May 3, 2026, 8:40 a.m. |
Created at: April 9, 2026, 5:31 p.m.