Triple
T483959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Newhart |
E9831
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Jim Gaffigan |
E7621
|
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: Jim Gaffigan | Statement: [Bob Newhart, influenced, Jim Gaffigan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Gaffigan Context triple: [Bob Newhart, influenced, Jim Gaffigan]
-
A.
Jim Gaffigan
chosen
Jim Gaffigan is an American stand-up comedian and actor known for his observational, family-friendly humor and roles in both film and television.
-
B.
Lewis Black
Lewis Black is an American stand-up comedian, actor, and author best known for his angry, rant-filled style of political and social commentary.
-
C.
Ray Romano
Ray Romano is an American stand-up comedian and actor best known for creating and starring in the hit sitcom "Everybody Loves Raymond."
-
D.
Michael Ian Black
Michael Ian Black is an American comedian, actor, writer, and director known for his work on "The State," "Stella," and numerous stand-up and television appearances.
-
E.
Kevin Hart
Kevin Hart is an American stand-up comedian and actor known for his high-energy performances, self-deprecating humor, and starring roles in numerous hit comedy films.
- 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_69a2e802e2908190ab17c9479e0b6412 |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0ba310c81909645ef7e8a20b52f |
completed | Feb. 28, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4777d131c8190a9e6dea9fef49486 |
completed | March 1, 2026, 5:29 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.