Triple
T22810646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donna Who |
E564662
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Donna Who |
—
|
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: Donna Who | Statement: [Donna Who, name, Donna Who]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donna Who Context triple: [Donna Who, name, Donna Who]
-
A.
Donna Who
chosen
Donna Who is a resident of Whoville and the caring single mother of Cindy-Lou Who in the 2018 animated film "The Grinch."
-
B.
Melody Pond
Melody Pond is the time-traveling daughter of Amy Pond and Rory Williams who later becomes the enigmatic River Song in the Doctor Who universe.
-
C.
Donna
Donna is a feminine given name of Italian origin that has been widely used in English-speaking countries.
-
D.
Sandra Shaw
Sandra Shaw was the screen name of American actress Veronica Balfe, who appeared in several films of the 1930s and was married to actor Gary Cooper.
-
E.
Juno MacGuff
Juno MacGuff is the witty, independent, and unexpectedly pregnant teenage protagonist of the 2007 film "Juno," known for her sharp dialogue and emotional maturity.
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d60186881908f6cb609c536dc91 |
completed | April 29, 2026, 3:39 a.m. |
Created at: April 17, 2026, 3:32 p.m.