Triple
T1181224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lodestar Award for Best Young Adult Book |
E25140
|
entity |
| Predicate | notableWinner |
P2766
|
FINISHED |
| Object | Naomi Novik |
E102859
|
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: Naomi Novik | Statement: [Lodestar Award for Best Young Adult Book, notableWinner, Naomi Novik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naomi Novik Context triple: [Lodestar Award for Best Young Adult Book, notableWinner, 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.
Christianna Brand
Christianna Brand was a British crime and children's author best known for her "Nurse Matilda" stories, which inspired the film "Nanny McPhee."
-
C.
Carol Abrams
Carol Abrams was an American television and film producer and the mother of filmmaker J. J. Abrams.
-
D.
Valeria Wasserman
Valeria Wasserman is a Brazilian linguist and translator best known as the wife of renowned intellectual Noam Chomsky.
-
E.
Sandra Henderson
Sandra Henderson is a Canadian former athlete best known for co-lighting the Olympic cauldron at the 1976 Summer Olympics in Montreal.
- 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_69a494267b4c819088c97a59182bf56a |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd32c5f48190b4e2d39fa052cbb7 |
completed | March 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac6f21547c81909cf23c454436e839 |
completed | March 7, 2026, 6:32 p.m. |
Created at: March 1, 2026, 7:45 p.m.