Triple
T7755655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Topper Returns |
E175888
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Billie Burke |
E55638
|
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: Billie Burke | Statement: [Topper Returns, starring, Billie Burke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Billie Burke Context triple: [Topper Returns, starring, Billie Burke]
-
A.
Billie Burke
chosen
Billie Burke was an American actress best known for her role as Glinda the Good Witch in the classic 1939 film "The Wizard of Oz."
-
B.
Alice Faye
Alice Faye was an American actress and singer best known as a 1930s–1940s Hollywood musical star at 20th Century Fox.
-
C.
Florence Dempsey
Florence Dempsey is a spirited young reporter character in the 1933 horror film "Mystery of the Wax Museum," known for her sharp wit and investigative tenacity.
-
D.
Bess Laurence
Bess Laurence is the daughter of Amy March and Laurie in Louisa May Alcott’s "Little Women" series, often portrayed as a sweet and musically gifted child.
-
E.
Meryl Burbank
Meryl Burbank is a central character in the film "The Truman Show," portrayed as Truman's wife who secretly works as an actress complicit in the fabricated reality surrounding his life.
- 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_69c6996180088190832e38e8d83ff54a |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703d9d8fc8190b51faeb081ee425f |
completed | March 27, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8d6c06f54819096162e84180918ba |
completed | March 29, 2026, 7:37 a.m. |
Created at: March 27, 2026, 4:08 p.m.