Triple
T20858822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharon Downey |
E513556
|
entity |
| Predicate | nameContains |
P5298
|
FINISHED |
| Object | Downey |
—
|
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: Downey | Statement: [Sharon Downey, nameContains, Downey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Downey Context triple: [Sharon Downey, nameContains, Downey]
-
A.
Downey
chosen
Downey is the surname of American actor Robert Downey Jr., widely known for his versatile film career and iconic role as Iron Man in the Marvel Cinematic Universe.
-
B.
Downey
Downey is a suburban city in southeastern Los Angeles County, California, known historically for its aerospace industry and as the birthplace of the Apollo space program.
-
C.
Norwood
Norwood is a small village located within Charlevoix County in the U.S. state of Michigan.
-
D.
Norwood
Norwood is the given first name of Jay Norwood "Ding" Darling, a prominent American cartoonist and conservationist.
-
E.
Norwood
Norwood is a small settlement located within the Clackmannanshire council area in central Scotland.
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3aabef4819098f0fd24dcc27dbd |
completed | April 21, 2026, 12:24 a.m. |
Created at: April 16, 2026, 12:44 p.m.