Triple
T5910418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Awards statuette |
E131443
|
entity |
| Predicate | sculptor |
P184
|
FINISHED |
| Object | George Stanley |
E525705
|
NE 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: George Stanley | Statement: [Academy Awards statuette, sculptor, George Stanley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Stanley Context triple: [Academy Awards statuette, sculptor, George Stanley]
-
A.
George Stanley
George Stanley was a Canadian-born poet and educator associated with the San Francisco Renaissance literary movement.
-
B.
George Stanley
chosen
George Stanley was an American sculptor best known for designing the iconic Oscar statuette for the Academy Awards.
-
C.
Walter Francis Brown
Walter Francis Brown was an American illustrator and artist best known for his work on 19th-century books and periodicals, including providing illustrations for Mark Twain’s travel writings.
-
D.
Gordon Jennings
Gordon Jennings was an American special effects artist renowned for his pioneering visual effects work in mid-20th-century Hollywood science fiction and adventure films.
-
E.
Fred M. Wilcox
Fred M. Wilcox was an American film director best known for the science fiction classic "Forbidden Planet" and the family film "Lassie Come Home."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008593a44819081a07ae0efe6c574 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c037767af08190b5678cff9fd0816f |
completed | March 22, 2026, 6:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c124fda1848190894b51d45f2b0a7a |
completed | March 23, 2026, 11:33 a.m. |
Created at: March 22, 2026, 3:59 p.m.