Triple
T19358917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Who's Minding the Store? |
E484223
|
entity |
| Predicate | hasBossCharacter |
P98692
|
FINISHED |
| Object | Mrs. Phoebe Tuttle |
—
|
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: Mrs. Phoebe Tuttle | Statement: [Who's Minding the Store?, hasBossCharacter, Mrs. Phoebe Tuttle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mrs. Phoebe Tuttle Context triple: [Who's Minding the Store?, hasBossCharacter, Mrs. Phoebe Tuttle]
-
A.
Ethel Fleming
Ethel Fleming was the first wife of American businessman Ray Kroc, the entrepreneur who built McDonald's into a global fast-food empire.
-
B.
Mabel McVey
Mabel McVey is a British-Swedish pop and R&B singer and songwriter known for hits like "Don't Call Me Up" and "Mad Love."
-
C.
Ann Treadwell
Ann Treadwell is a supporting character in the classic 1944 film noir "Laura," involved in the story’s web of romance, jealousy, and intrigue surrounding the title character’s apparent murder.
-
D.
Edna Young
Edna Young is known as the mother of Canadian singer-songwriter Neil Young.
-
E.
Almira Sessions
chosen
Almira Sessions was an American character actress known for her numerous supporting roles in Hollywood films from the 1930s through the 1950s.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6190b343c81909734ba776fd196dc |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 10, 2026, 1:34 p.m.