Triple
T9272425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary |
E222862
|
entity |
| Predicate | birthNameOf |
P6690
|
FINISHED |
| Object | Vivien Leigh |
E34677
|
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: Vivien Leigh | Statement: [Mary, birthNameOf, Vivien Leigh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vivien Leigh Context triple: [Mary, birthNameOf, Vivien Leigh]
-
A.
Vivien Leigh
chosen
Vivien Leigh was a British actress best known for her Academy Award–winning performances as Scarlett O’Hara in "Gone with the Wind" and Blanche DuBois in "A Streetcar Named Desire."
-
B.
Anna Maria Dandridge
Anna Maria Dandridge was a colonial Virginian woman from the prominent Dandridge family, known primarily as a relative of Martha Dandridge Custis Washington, the future First Lady of the United States.
-
C.
Suellen O'Hara
Suellen O'Hara is Scarlett O'Hara’s vain and self-interested younger sister in Margaret Mitchell’s novel "Gone with the Wind."
-
D.
Vivian Dandridge
Vivian Dandridge was an American singer and actress, best known as a member of the Dandridge Sisters vocal group and for her work in early Hollywood entertainment.
-
E.
Bette Davis
Bette Davis was an iconic American film actress renowned for her intense, uncompromising performances and pioneering portrayals of complex, strong-willed women on screen.
- 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_69ca841ffe208190aa7bcffbef2f8379 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0787d2e48190ad56cf3abf12d409 |
completed | April 1, 2026, 11:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b1f57db881908a42ad5b042d0872 |
completed | April 4, 2026, 6:38 a.m. |
Created at: March 30, 2026, 7:33 p.m.