Triple
T16161754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Can Wait |
E392195
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
James DiGiacomo
James DiGiacomo is an American actor best known for his role on the CBS sitcom "Kevin Can Wait."
|
E1343562
|
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: James DiGiacomo | Statement: [Kevin Can Wait, starring, James DiGiacomo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James DiGiacomo Context triple: [Kevin Can Wait, starring, James DiGiacomo]
-
A.
John Ficarra
John Ficarra is an American humor writer and longtime editor-in-chief of Mad magazine, known for shaping its satirical voice for decades.
-
B.
Joseph Menna
Joseph Menna is an American sculptor and engraver known for his work as a designer and sculptor of United States coinage for the U.S. Mint.
-
C.
Peter DiFronzo
Peter DiFronzo was a Chicago mob figure associated with the Chicago Outfit and known primarily as the brother of reputed mob boss John DiFronzo.
-
D.
John Femia
John Femia is an actor known for playing the character Marshall Blechtman.
-
E.
Tony DeMarco
Tony DeMarco was an American professional boxer and former world welterweight champion known for his aggressive, crowd-pleasing fighting style during the 1950s.
- 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: James DiGiacomo Triple: [Kevin Can Wait, starring, James DiGiacomo]
Generated description
James DiGiacomo is an American actor best known for his role on the CBS sitcom "Kevin Can Wait."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: James DiGiacomo Target entity description: James DiGiacomo is an American actor best known for his role on the CBS sitcom "Kevin Can Wait."
-
A.
John Ficarra
John Ficarra is an American humor writer and longtime editor-in-chief of Mad magazine, known for shaping its satirical voice for decades.
-
B.
Joseph Menna
Joseph Menna is an American sculptor and engraver known for his work as a designer and sculptor of United States coinage for the U.S. Mint.
-
C.
Peter DiFronzo
Peter DiFronzo was a Chicago mob figure associated with the Chicago Outfit and known primarily as the brother of reputed mob boss John DiFronzo.
-
D.
John Femia
John Femia is an actor known for playing the character Marshall Blechtman.
-
E.
Tony DeMarco
Tony DeMarco was an American professional boxer and former world welterweight champion known for his aggressive, crowd-pleasing fighting style during the 1950s.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5ffba88190b9dc7bb9afb6fdf2 |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0546fdc4e881908b5c2a00085aab32 |
completed | May 14, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_6a054b1a8698819090e8594f00588703 |
completed | May 14, 2026, 4:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a054b881bd48190ab3ae42719357d7c |
completed | May 14, 2026, 4:11 a.m. |
Created at: April 10, 2026, 5:02 a.m.