Triple
T9042439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lilyhammer |
E216665
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Frank Tagliano |
E796292
|
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 Tagliano | Statement: [Lilyhammer, mainCharacter, Frank Tagliano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank Tagliano Context triple: [Lilyhammer, mainCharacter, Frank Tagliano]
-
A.
Frank Tagliano
chosen
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."
-
B.
Frank Santillo
Frank Santillo was an American film editor known for his work on numerous Hollywood productions, including classic Westerns.
-
C.
Angelo Petraglia
Angelo Petraglia is an American songwriter and record producer best known for his extensive work with Kings of Leon and contributions to modern rock and alternative music.
-
D.
Frank Galati
Frank Galati was an American director, adapter, and screenwriter known for his acclaimed stage and film adaptations of literary works.
-
E.
Rudy De Luca
Rudy De Luca is an American comedy writer, actor, and frequent Mel Brooks collaborator known for co-writing films such as "High Anxiety" and "Dracula: Dead and Loving It."
- 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_69ca83d22d488190adbce5e020e9cd1d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b110fcc8190a09e8ac5d98e399e |
completed | April 1, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d110090f208190bf0338a37bb28e8b |
completed | April 4, 2026, 1:20 p.m. |
Created at: March 30, 2026, 7:09 p.m.