Triple
T14239925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Outsourced |
E352977
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Diedrich Bader |
E548387
|
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: Diedrich Bader | Statement: [Outsourced, castMember, Diedrich Bader]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diedrich Bader Context triple: [Outsourced, castMember, Diedrich Bader]
-
A.
Diedrich Bader
chosen
Diedrich Bader is an American actor and comedian known for his character roles in film and television, including prominent parts in series like "The Drew Carey Show" and "American Housewife."
-
B.
Kurt Diebner
Kurt Diebner was a German physicist who played a leading organizational role in Nazi Germany’s nuclear energy project during World War II.
-
C.
Johann Bader
Johann Bader is a relatively obscure individual sharing the surname Bader, with no widely documented public achievements or roles.
-
D.
Otto Bartning
Otto Bartning was a prominent German architect and theorist known for his influential modernist church designs and contributions to postwar reconstruction architecture.
-
E.
Albert Bassermann
Albert Bassermann was a distinguished German stage and film actor renowned for his powerful character roles in both European cinema and Hollywood.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62432fb48190b153805b85c4f2d2 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3253fc2c8190ba2da6fe6a910d85 |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:08 a.m.