Triple
T18826343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pawnshop |
E460396
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Albert Austin |
—
|
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: Albert Austin | Statement: [The Pawnshop, hasCastMember, Albert Austin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albert Austin Context triple: [The Pawnshop, hasCastMember, Albert Austin]
-
A.
Albert Austin
chosen
Albert Austin was a British-born silent film actor and comedian best known for his frequent collaborations with Charlie Chaplin at Keystone and Mutual Studios.
-
B.
William Austin
William Austin is a film editor known for his work on the movie "Shotgun."
-
C.
William Austin
William Austin was a British character actor of the early 20th century, known for his supporting roles in Hollywood films and serials.
-
D.
William Fulton
William Fulton is an American urban planner, author, and former mayor known for his influential work on smart growth, land use, and city planning policy.
-
E.
Don Boyd
Don Boyd is a British film producer and director known for his work on independent and socially conscious films.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6bec7b08190b040ec8b3693f037 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 10, 2026, 11:56 a.m.