Triple
T2008984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julie & Julia |
E43648
|
entity |
| Predicate | mainSubject |
P3
|
FINISHED |
| Object | Julia Child |
E16818
|
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: Julia Child | Statement: [Julie & Julia, mainSubject, Julia Child]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julia Child Context triple: [Julie & Julia, mainSubject, Julia Child]
-
A.
Julia Child
chosen
Julia Child was a pioneering American chef, author, and television personality who popularized French cuisine in the United States through her influential cookbooks and cooking shows.
-
B.
Fannie Farmer
Fannie Farmer was an influential American cook and author whose 1896 "Boston Cooking-School Cook Book" helped standardize modern recipe measurements and home cooking practices.
-
C.
Elizabeth Steward
Elizabeth Steward was an English gentlewoman of the early 17th century best known as the mother of Oliver Cromwell, the future Lord Protector of England.
-
D.
Marion Cunningham
Marion Cunningham is the warm, sensible matriarch of the Cunningham family on the classic American sitcom "Happy Days."
-
E.
Paula Stewart
Paula Stewart is an American actress and singer known for her work on Broadway and in television during the mid-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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb89be08c81909eb5ea672ea46b2b |
completed | March 7, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1fe3480c8190add171121653fc8a |
completed | March 9, 2026, 1:18 a.m. |
Created at: March 4, 2026, 7:37 p.m.