Triple
T17350124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Every Girl Should Be Married |
E421785
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Diana Lynn |
E307043
|
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: Diana Lynn | Statement: [Every Girl Should Be Married, castMember, Diana Lynn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diana Lynn Context triple: [Every Girl Should Be Married, castMember, Diana Lynn]
-
A.
Diana Lynn
chosen
Diana Lynn was an American film and television actress best known for her work in 1940s and 1950s Hollywood comedies and dramas.
-
B.
Sandra Dee
Sandra Dee was an American actress and teen idol of the late 1950s and 1960s, best known for films like "Gidget" and "A Summer Place."
-
C.
Betty Lynn
Betty Lynn was an American actress best known for playing Thelma Lou, Barney Fife’s girlfriend, on the classic television series "The Andy Griffith Show."
-
D.
Betty Wright
Betty Wright is the wife of former U.S. House Speaker Jim Wright and served as his partner and supporter throughout his long political career.
-
E.
Betty Wright
Betty Wright was an American soul and R&B singer best known for her powerful vocals and hits like "Clean Up Woman," who became an influential figure in Miami's music scene.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a2bd0a881909e71c89773d9273c |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0195585e5881909b0ad386b65112ba |
completed | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:44 a.m.