Triple
T22716192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Sweetest Thing |
E561737
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Judah Friedlander |
—
|
NE NERFINISHED |
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: Judah Friedlander | Statement: [The Sweetest Thing, hasCastMember, Judah Friedlander]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Judah Friedlander Context triple: [The Sweetest Thing, hasCastMember, Judah Friedlander]
-
A.
Judah Friedlander
chosen
Judah Friedlander is an American comedian and actor best known for his deadpan humor, trademark trucker hats, and his role as writer Frank Rossitano on the television series "30 Rock."
-
B.
Ben Feldman
Ben Feldman is an American actor known for his roles in television series such as Drop Dead Diva, Mad Men, and Superstore.
-
C.
David Adelstein
David Adelstein is a musician known for his work featured on the album "Bella Donna."
-
D.
Jacob Adler
Jacob Adler was a pioneering and influential actor and impresario who became one of the leading stars of the Yiddish theater in the late 19th and early 20th centuries.
-
E.
Michel Drucker
Michel Drucker is a prominent French television host and producer known for his long-running talk and variety shows on French public and private channels.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1790e14c88190af6acb27910ae9c1 |
completed | April 29, 2026, 3:20 a.m. |
Created at: April 17, 2026, 3:19 p.m.