Triple
T5271161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Carson |
E119260
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jack Carson |
E119260
|
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: Jack Carson | Statement: [Jack Carson, name, Jack Carson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Carson Context triple: [Jack Carson, name, Jack Carson]
-
A.
Jack Carson
chosen
Jack Carson was a Canadian-born American character actor known for his comedic and supporting roles in classic Hollywood films of the 1940s and 1950s.
-
B.
Ed Wynn
Ed Wynn was an American comedian and character actor known for his distinctive high-pitched voice and whimsical performances in early radio, film, and television.
-
C.
Danny Kaye
Danny Kaye was an American actor, comedian, singer, and dancer renowned for his energetic performances in films and on stage during the mid-20th century.
-
D.
Walter Matthau
Walter Matthau was an American actor renowned for his gruff charm and comedic roles in films such as "The Odd Couple" and "The Bad News Bears."
-
E.
Jack Elam
Jack Elam was an American character actor best known for his distinctive lazy eye and memorable roles as villains and comic sidekicks in numerous Western films and television series.
- 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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7c1fa01081909d589686289b624b |
completed | March 20, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf187a1cf881908b45bc32c03d33be |
completed | March 21, 2026, 10:15 p.m. |
Created at: March 20, 2026, 1:51 p.m.