Triple
T20269892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wayne Cilento |
E499065
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Wayne Cilento |
—
|
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: Wayne Cilento | Statement: [Wayne Cilento, name, Wayne Cilento]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wayne Cilento Context triple: [Wayne Cilento, name, Wayne Cilento]
-
A.
Wayne Cilento
chosen
Wayne Cilento is a Tony Award–winning American choreographer and director known for his work on numerous hit Broadway musicals.
-
B.
John Tonkin
John Tonkin was an Australian Labor politician who served as Premier of Western Australia from 1971 to 1974 and held several key ministerial roles during a long state parliamentary career.
-
C.
Tom Bancroft
Tom Bancroft is an American animator, illustrator, and character designer best known for his work on Disney films such as "Mulan" and "The Lion King."
-
D.
John Bragg
John Bragg was a prominent 19th-century figure from Mobile, Alabama, for whom the historic Bragg-Mitchell Mansion is named.
-
E.
James Isaacs
James Isaacs is a game designer best known for his work on the racing title Mad Dash Racing.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e675dc8e708190b840d687f134c9e8 |
completed | April 20, 2026, 6:52 p.m. |
Created at: April 11, 2026, 11:42 p.m.