Triple
T17341997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saturday Night Fever |
E421087
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Joseph Cali
Joseph Cali is an American actor best known for his role as Joey in the iconic 1977 film "Saturday Night Fever."
|
E1262466
|
NE FINISHED |
How this triple was built (4 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: Joseph Cali | Statement: [Saturday Night Fever, starring, Joseph Cali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Cali Context triple: [Saturday Night Fever, starring, Joseph Cali]
-
A.
Eduardo Catalano
Eduardo Catalano was an Argentine-born architect and educator known for his innovative modernist designs and influential contributions to 20th-century architecture.
-
B.
Victor Rizzi
Victor Rizzi is a minor character in The Godfather saga, known as the son of Connie Corleone within the Corleone crime family.
-
C.
Joe Tiboni
Joe Tiboni is a screenwriter best known for co-writing the critically acclaimed independent film "Win Win."
-
D.
Greg Calderone
Greg Calderone is an actor best known for his role in the Norwegian-American television series "Lilyhammer."
-
E.
John Zulberti
John Zulberti is a former standout lacrosse player best known for his collegiate career with the Syracuse University men's lacrosse program.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Joseph Cali Triple: [Saturday Night Fever, starring, Joseph Cali]
Generated description
Joseph Cali is an American actor best known for his role as Joey in the iconic 1977 film "Saturday Night Fever."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joseph Cali Target entity description: Joseph Cali is an American actor best known for his role as Joey in the iconic 1977 film "Saturday Night Fever."
-
A.
Eduardo Catalano
Eduardo Catalano was an Argentine-born architect and educator known for his innovative modernist designs and influential contributions to 20th-century architecture.
-
B.
Victor Rizzi
Victor Rizzi is a minor character in The Godfather saga, known as the son of Connie Corleone within the Corleone crime family.
-
C.
Joe Tiboni
Joe Tiboni is a screenwriter best known for co-writing the critically acclaimed independent film "Win Win."
-
D.
Greg Calderone
Greg Calderone is an actor best known for his role in the Norwegian-American television series "Lilyhammer."
-
E.
John Zulberti
John Zulberti is a former standout lacrosse player best known for his collegiate career with the Syracuse University men's lacrosse program.
- F. None of above. chosen
Provenance (5 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a173e1c8190afcebf25ee902cc8 |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c588a7081909ab108cb4adfedfe |
completed | May 11, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_6a018e0f09c881909296656b2732bf1e |
completed | May 11, 2026, 8:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a018e7b453c81909f75593237bcf9ec |
completed | May 11, 2026, 8:08 a.m. |
Created at: April 10, 2026, 5:44 a.m.