Triple
T25831964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burns and Allen vaudeville act |
E650686
|
entity |
| Predicate | roleOfGeorgeBurns |
P160291
|
FINISHED |
| Object | straight man |
—
|
LITERAL 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: straight man | Statement: [Burns and Allen vaudeville act, roleOfGeorgeBurns, straight man]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfGeorgeBurns Context triple: [Burns and Allen vaudeville act, roleOfGeorgeBurns, straight man]
-
A.
AlbertBrooksRole
Indicates that an entity represents a role or character played by Albert Brooks in a work.
-
B.
performerRoleOfJerryLewis
Indicates that the specified role is one that was performed or played by Jerry Lewis.
-
C.
roleInTheMarvelousMrsMaisel
Indicates that an entity has a role or appearance in the television series "The Marvelous Mrs. Maisel."
-
D.
roleInHaroldAndKumarSeries
Indicates that an entity portrays a character in the Harold and Kumar film series.
-
E.
hasEdwardBurnsRole
Indicates that an entity holds or is assigned a role associated with Edward Burns, such as a character he plays or a position linked to his work.
- F. None of above. chosen
Provenance (4 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_69e7ab37438081908f1ccf6284839520 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f601f26f0c81908f0ee76b955e9806 |
completed | May 2, 2026, 1:53 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f600be0de88190989611e952b03117 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 22, 2026, 7:39 a.m.