Triple
T21848568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raising Dad |
E539440
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Jerry Adler |
—
|
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: Jerry Adler | Statement: [Raising Dad, starring, Jerry Adler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jerry Adler Context triple: [Raising Dad, starring, Jerry Adler]
-
A.
Jerry Adler
chosen
Jerry Adler is an American actor and theatre director best known for his character roles in film, television, and on Broadway.
-
B.
Jerry Adler
Jerry Adler is an American harmonica player and composer known for his work on film scores and television soundtracks.
-
C.
Marty Adelstein
Marty Adelstein is an American television producer and executive known for developing and producing numerous popular TV series.
-
D.
Jay Adler
Jay Adler was an American character actor known for his supporting roles in numerous mid-20th-century films and television series.
-
E.
Warren Adler
Warren Adler was an American novelist and short story writer best known for his darkly comic and dramatic works, including the novel "The War of the Roses," which was adapted into a popular film.
- 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0bd56f4e081909a906b64c1019e6a |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 16, 2026, 6:55 p.m.