Triple
T17046502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donna Noble |
E413583
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Sylvia Noble |
—
|
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: Sylvia Noble | Statement: [Donna Noble, mother, Sylvia Noble]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sylvia Noble Context triple: [Donna Noble, mother, Sylvia Noble]
-
A.
Sylvia Noble
chosen
Sylvia Noble is a recurring Doctor Who character, best known as Donna Noble’s outspoken and overprotective mother.
-
B.
Sylvia Fowler
Sylvia Fowler is a scheming, sharp-tongued Manhattan socialite and chief instigator of gossip in the classic 1939 film "The Women."
-
C.
Dorothy McIlwraith
Dorothy McIlwraith was an American magazine editor best known for her influential mid-20th-century stewardship of the pulp fantasy and horror magazine Weird Tales.
-
D.
Ruth Noble
Ruth Noble is known as the wife of American novelist Winston Groom, author of "Forrest Gump."
-
E.
Mabel Gordon
Mabel Gordon is a fictional character in Ken Follett’s historical thriller "Night Over Water," set against the backdrop of a transatlantic flight at the outbreak of World War II.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3da9e3d8881909f197aba0e4c97e7 |
completed | April 18, 2026, 7:25 p.m. |
Created at: April 10, 2026, 5:33 a.m.