Triple
T18508686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Diamantopoulos |
E452271
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Mrs. Davis |
—
|
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. Davis | Statement: [Chris Diamantopoulos, notableWork, Mrs. Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mrs. Davis Context triple: [Chris Diamantopoulos, notableWork, Mrs. Davis]
-
A.
Mrs. Davis
Mrs. Davis is the caring and practical single mother of Andy in the Toy Story film series.
-
B.
Mrs. Davis
chosen
Mrs. Davis is a genre-bending television series that blends science fiction, dark comedy, and religious themes, following a nun who battles an all-powerful artificial intelligence.
-
C.
Mrs. Hill
Mrs. Hill is the housekeeper at Longbourn in Jane Austen’s novel "Pride and Prejudice," overseeing the Bennet household’s domestic affairs.
-
D.
Mrs. Garrett
Mrs. Garrett is the warm, wise housemother and later dietitian portrayed by Charlotte Rae on the classic TV sitcoms "Diff'rent Strokes" and "The Facts of Life."
-
E.
Mrs. Bailey
Mrs. Bailey is the mother of George Bailey, the protagonist of the classic film "It's a Wonderful Life."
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53344c6b081908e780ed5c815a766 |
completed | April 19, 2026, 7:55 p.m. |
Created at: April 10, 2026, 11:36 a.m.