Triple
T7768545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orange Prize for Fiction |
E179010
|
entity |
| Predicate | notableRecipient |
P108
|
FINISHED |
| Object | Andrea Levy |
E630060
|
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: Andrea Levy | Statement: [Orange Prize for Fiction, notableRecipient, Andrea Levy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrea Levy Context triple: [Orange Prize for Fiction, notableRecipient, Andrea Levy]
-
A.
Andrea Levy
chosen
Andrea Levy was an acclaimed British novelist known for her insightful explorations of the Black British experience, particularly the lives of the Windrush generation.
-
B.
Bernardine Evaristo
Bernardine Evaristo is a British writer and academic best known for her innovative, genre-blending fiction exploring Black British experiences and identity.
-
C.
Ali Smith
Ali Smith is a Scottish author acclaimed for her inventive, genre-blurring novels and short stories, including the seasonal quartet that begins with "Autumn."
-
D.
Carol Black
Carol Black is an American television writer, producer, and director best known for co-creating the acclaimed coming-of-age series "The Wonder Years."
-
E.
Sonia Todd
Sonia Todd is an individual associated with the work "Shine," likely recognized for a notable role or contribution connected to that title.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c704376dc08190890f5ebb9f259cfd |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7e7818c8190920ea2bde6343968 |
completed | March 29, 2026, 6:34 a.m. |
Created at: March 27, 2026, 4:11 p.m.