Triple
T18902335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Novik |
E462366
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Naomi Novik |
—
|
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: Naomi Novik | Statement: [Novik, hasNotableBearer, Naomi Novik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naomi Novik Context triple: [Novik, hasNotableBearer, Naomi Novik]
-
A.
Naomi Novik
chosen
Naomi Novik is an American fantasy author best known for her Temeraire series and the award-winning novels Uprooted and Spinning Silver.
-
B.
Susanna Bennett
Susanna Bennett was the wife of Irish Gothic writer Sheridan Le Fanu, known primarily through her marriage to the influential Victorian author.
-
C.
Gail Carriger
Gail Carriger is a bestselling American author known for her humorous steampunk and paranormal romance novels, particularly the Parasol Protectorate series.
-
D.
Claudia Gray
Claudia Gray is an American author best known for her young adult paranormal novels and her contributions to the Star Wars expanded universe.
-
E.
Margaret Sterling
Margaret Sterling is a fictional character from the television series "Mad Men," known as the daughter of advertising executive Roger Sterling.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52a4b4c8190b5821996e3c1741d |
completed | April 20, 2026, 6:18 a.m. |
Created at: April 10, 2026, 11:58 a.m.