Triple
T2604361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Best |
E58622
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Edna Best |
E215294
|
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: Edna Best | Statement: [Best, hasNotableBearer, Edna Best]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edna Best Context triple: [Best, hasNotableBearer, Edna Best]
-
A.
Edna Best
chosen
Edna Best was a British stage and film actress known for her poised performances in 1930s and 1940s cinema and on Broadway.
-
B.
Edna Murphy
Edna Murphy was an American silent film actress active in the 1920s, known for her roles in numerous melodramas and comedies.
-
C.
Edna Young
Edna Young is known as the mother of Canadian singer-songwriter Neil Young.
-
D.
Edna Thompson
Edna Thompson was the wife of legendary American jazz composer and bandleader Duke Ellington.
-
E.
Gladys Brockwell
Gladys Brockwell was an American stage and silent film actress known for her intense dramatic roles during the early 20th century.
- 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8340eac819084eb1fe6f0ac0aa0 |
completed | March 7, 2026, 7:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af907ebc348190b1556a2104cba6f1 |
completed | March 10, 2026, 3:31 a.m. |
Created at: March 6, 2026, 9:49 p.m.