Triple
T21766912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thousands Cheer |
E537316
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Margaret O'Brien |
—
|
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: Margaret O'Brien | Statement: [Thousands Cheer, castMember, Margaret O'Brien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margaret O'Brien Context triple: [Thousands Cheer, castMember, Margaret O'Brien]
-
A.
Margaret O'Brien
chosen
Margaret O'Brien is an American former child actress best known for her acclaimed performances in 1940s films such as "Meet Me in St. Louis."
-
B.
Colleen Moore
Colleen Moore was a popular American silent film actress best known for her flapper roles in the 1920s, which helped define the era’s modern screen heroine.
-
C.
Hattie Bilson
Hattie Bilson is a family member of American actress Rachel Bilson, known primarily in relation to the Bilson entertainment family.
-
D.
Lulie Swanson
Lulie Swanson was the woman who served as the sponsor for the U.S. Navy aircraft carrier USS Enterprise (CV-6) at its launching ceremony.
-
E.
Mary Merrall
Mary Merrall was a British stage and film actress known for her character roles in mid-20th-century cinema and theatre.
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031aa9c888190887c5c1d1e3bab9f |
completed | April 28, 2026, 4:03 a.m. |
Created at: April 16, 2026, 6:51 p.m.