Triple
T19513821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Archera |
E488224
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Laura Archera |
—
|
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: Laura Archera | Statement: [Laura Archera, birthName, Laura Archera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Archera Context triple: [Laura Archera, birthName, Laura Archera]
-
A.
Laura Archera
chosen
Laura Archera was an Italian-born violinist, writer, and psychological counselor best known as the wife and collaborator of author Aldous Huxley.
-
B.
Alice Mayes
Alice Mayes was the wife of British modernist painter David Bomberg, associated with his personal life and artistic milieu.
-
C.
Sarah Winston
Sarah Winston was a colonial American woman best known as the mother of Founding Father and second U.S. President John Adams.
-
D.
Anne Archer
Anne Archer is an American actress best known for her Academy Award–nominated role in the 1987 thriller "Fatal Attraction."
-
E.
Laura Liddell
Laura Liddell is an actress known for her role in the 1965 Indian-English drama film "Shakespeare-Wallah."
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63599c17881909a392a6026e45955 |
completed | April 20, 2026, 2:18 p.m. |
Created at: April 10, 2026, 1:40 p.m.