Triple
T19892624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goldfish crackers |
E478069
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Margaret Rudkin |
—
|
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: Margaret Rudkin | Statement: [Goldfish crackers, creator, Margaret Rudkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margaret Rudkin Context triple: [Goldfish crackers, creator, Margaret Rudkin]
-
A.
Margaret Rudkin
chosen
Margaret Rudkin was an American businesswoman and food industry pioneer best known for building Pepperidge Farm from a home baking venture into a major commercial bakery brand.
-
B.
Margaret Rudman
Margaret Rudman is known as the wife of the late U.S. Senator Warren Rudman of New Hampshire.
-
C.
Margaret Heidenry
Margaret Heidenry is a screenwriter best known for her work on the animated Disney sequel "Cinderella III: A Twist in Time."
-
D.
Margaret Fink
Margaret Fink is an Australian film producer best known for her work on influential Australian New Wave films, including the acclaimed adaptation of "My Brilliant Career."
-
E.
Margaret Lickford
Margaret Lickford was the wife of English film and stage actor H. B. Warner, known for his roles in early Hollywood cinema.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6590ed7988190bc6b610d1f4fa194 |
completed | April 20, 2026, 4:49 p.m. |
Created at: April 10, 2026, 1:52 p.m.