Triple
T16756681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Breuer |
E407224
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jim Breuer |
E407224
|
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 Breuer | Statement: [Jim Breuer, name, Jim Breuer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Breuer Context triple: [Jim Breuer, name, Jim Breuer]
-
A.
Jim Breuer
chosen
Jim Breuer is an American stand-up comedian and actor best known for his work on "Saturday Night Live" and his role in the cult stoner comedy film "Half Baked."
-
B.
Stephen Breuer
Stephen Breuer is a scholar and author known for his work on political theory and modern European intellectual history.
-
C.
Murray Lerner
Murray Lerner was an American documentary and concert filmmaker best known for his music films capturing iconic performances by artists such as Bob Dylan, Jimi Hendrix, and The Who.
-
D.
Andrew Shulkind
Andrew Shulkind is a cinematographer known for his atmospheric and visually immersive work in genre films and television.
-
E.
Lanny Breuer
Lanny Breuer is an American lawyer who served as Assistant Attorney General for the U.S. Department of Justice’s Criminal Division and later became a prominent partner at Covington & Burling.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abe94cc0819099b05cd205d368c5 |
completed | April 18, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a52886e48190b7a1e6fccd9a5709 |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:21 a.m.