Triple
T6662899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bess Meredyth |
E151519
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bess Meredyth |
E151519
|
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: Bess Meredyth | Statement: [Bess Meredyth, name, Bess Meredyth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bess Meredyth Context triple: [Bess Meredyth, name, Bess Meredyth]
-
A.
Bess Meredyth
chosen
Bess Meredyth was an American screenwriter and silent film pioneer known for her influential work in early Hollywood cinema.
-
B.
Bess Armstrong
Bess Armstrong is an American actress known for her work in film, television, and theater, including prominent roles in projects like the drama series "My So-Called Life."
-
C.
Bess
Bess is a character in Louisa May Alcott’s novel "Little Men," which continues the story of the March family from "Little Women."
-
D.
Bess
Bess is a central character in George Gershwin's American folk opera "Porgy and Bess," known as a troubled woman torn between love, addiction, and her harsh surroundings in Catfish Row.
-
E.
Bess
Bess was the familiar nickname of Elizabeth "Bess" Truman, the First Lady of the United States and wife of President Harry S. Truman.
- 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_69c687f5fac48190a09e4838d9c6b45d |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b09a6fa88190ba8e454b9ad421a0 |
completed | March 27, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6ef0c1fc081909e37296958a04572 |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 2:02 p.m.