Triple
T15088296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myrna Dell |
E360341
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Myrna Dell |
E360341
|
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: Myrna Dell | Statement: [Myrna Dell, name, Myrna Dell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Myrna Dell Context triple: [Myrna Dell, name, Myrna Dell]
-
A.
Myrna Dell
chosen
Myrna Dell was an American film and television actress known for her roles in 1940s and 1950s Hollywood productions, particularly in film noir and B-movies.
-
B.
Myrna Fahey
Myrna Fahey was an American actress known for her film and television roles in the 1950s and 1960s, often appearing in comedies and dramas.
-
C.
Rose Marie
"Rose Marie" is a popular country and yodeling song best known as one of Slim Whitman’s signature hits.
-
D.
Rose Marie
Rose Marie was an American actress and comedian best known for her role as wisecracking comedy writer Sally Rogers on the classic television sitcom The Dick Van Dyke Show.
-
E.
Myrna Adele Williams
Myrna Adele Williams, better known as Myrna Loy, was a celebrated American film actress renowned for her sophisticated wit and iconic role as Nora Charles in "The Thin Man" series.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00276d1608190bc310d5b86ecd1d5 |
completed | April 15, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a005804f5c08190b545bc8b65e953f7 |
completed | May 10, 2026, 10:03 a.m. |
Created at: April 10, 2026, 3:04 a.m.