Triple
T19612437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | So Weird |
E470766
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Tom J. Astle |
—
|
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: Tom J. Astle | Statement: [So Weird, creator, Tom J. Astle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom J. Astle Context triple: [So Weird, creator, Tom J. Astle]
-
A.
Tom J. Astle
chosen
Tom J. Astle is an American screenwriter best known for co-writing mainstream comedy films such as the feature adaptation of "Get Smart."
-
B.
Michael Alsbury
Michael Alsbury was an American test pilot for Scaled Composites who was killed during a 2014 test flight of the SpaceShipTwo suborbital spaceplane.
-
C.
Leon Askin
Leon Askin was an Austrian-American character actor best known for his role as the stern General Burkhalter on the television series "Hogan's Heroes."
-
D.
Jack Alcott
Jack Alcott is an American actor best known for playing Harrison Morgan in the television series "Dexter: New Blood."
-
E.
David Ludden
David Ludden is an American historian and academic known for his scholarship on South Asian history and development.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640cbeda08190addb1adf84af4993 |
completed | April 20, 2026, 3:05 p.m. |
Created at: April 10, 2026, 1:43 p.m.