Triple
T3819971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Paper |
E84347
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Jason Alexander |
E212777
|
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: Jason Alexander | Statement: [The Paper, castMember, Jason Alexander]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jason Alexander Context triple: [The Paper, castMember, Jason Alexander]
-
A.
Jason Alexander
chosen
Jason Alexander is an American actor and comedian best known for his role as George Costanza on the television sitcom "Seinfeld."
-
B.
Jason Allen Alexander
Jason Allen Alexander is an American man best known for his brief 2004 marriage to pop star Britney Spears.
-
C.
Joe Lo Truglio
Joe Lo Truglio is an American actor and comedian best known for his role as the earnest, quirky detective Charles Boyle on the television sitcom "Brooklyn Nine-Nine."
-
D.
Chris Kattan
Chris Kattan is an American comedian and actor best known for his work on "Saturday Night Live" and roles in films like "A Night at the Roxbury."
-
E.
Chris Elliott
Chris Elliott is an American actor and comedian known for his offbeat roles in film and television, including his supporting role in the comedy classic "Groundhog Day."
- 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_69aed931f5908190be2c07af66d4df25 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeea601d408190b09dc486e77488d4 |
completed | March 9, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb466a108190ac203ee00ce58f04 |
completed | March 14, 2026, 6:08 a.m. |
Created at: March 9, 2026, 3:17 p.m.