Triple
T22802872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucky Me |
E564447
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Jack Donohue |
—
|
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: Jack Donohue | Statement: [Lucky Me, director, Jack Donohue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Donohue Context triple: [Lucky Me, director, Jack Donohue]
-
A.
Jack Donohue
chosen
Jack Donohue was an American television director and producer best known for his work on classic mid-20th-century TV comedies and variety shows.
-
B.
Randy Ostrow
Randy Ostrow is a film and television producer best known for his work as an executive producer on projects such as the HBO film "Gia."
-
C.
Joey McKneely
Joey McKneely is an American choreographer and director known for his work on major Broadway productions and international musical theatre.
-
D.
Paul Quattrone
Paul Quattrone is an American drummer best known for his work with experimental and garage rock bands, including Thee Oh Sees.
-
E.
Joe Daley
Joe Daley is a former Canadian professional ice hockey goaltender best known for starring with the Winnipeg Jets in the World Hockey Association during the 1970s.
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cdf1e308190a05d0f61856be544 |
completed | April 29, 2026, 3:37 a.m. |
Created at: April 17, 2026, 3:31 p.m.