Triple
T31802927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Morning, World |
E811788
|
entity |
| Predicate | characterPortrayedByBillyDeWolfe |
P197519
|
FINISHED |
| Object | fussy comedic radio station manager |
—
|
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: fussy comedic radio station manager | Statement: [Good Morning, World, characterPortrayedByBillyDeWolfe, fussy comedic radio station manager]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterPortrayedByBillyDeWolfe Context triple: [Good Morning, World, characterPortrayedByBillyDeWolfe, fussy comedic radio station manager]
-
A.
characterPortrayedByHenryStephenson
Indicates that a character is portrayed or played by the actor Henry Stephenson.
-
B.
characterPortrayedByKayWalsh
Indicates that a character is portrayed or played by the actress Kay Walsh.
-
C.
characterPlayedByRayWalston
Indicates that a given character is portrayed or acted by Ray Walston.
-
D.
characterPortrayedIs
Indicates that one entity serves as the fictional or dramatic role that is depicted or played by another entity.
-
E.
sonCharacterPortrayedBy
Indicates that a person is the actor who portrays a specific son character in a work of fiction.
- 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_69f348e70d188190b4637c5509f81274 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe991bca608190b524e419642f4243 |
completed | May 9, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69fe979fc1c4819091fc48d63ea12063 |
completed | May 9, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69fe991abc6c81908edbb98d61c9ca73 |
completed | May 9, 2026, 2:16 a.m. |
Created at: April 30, 2026, 11:42 p.m.