Triple
T10365179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | War & Peace (2016 TV series) |
E244232
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Andrew Davies |
E48018
|
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: Andrew Davies | Statement: [War & Peace (2016 TV series), writer, Andrew Davies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Davies Context triple: [War & Peace (2016 TV series), writer, Andrew Davies]
-
A.
Andrew Davies
chosen
Andrew Davies is a renowned British screenwriter celebrated for his acclaimed television adaptations of classic literature, including numerous works by Jane Austen.
-
B.
Chris Riddell
Chris Riddell is a British illustrator and political cartoonist renowned for his distinctive artwork in children's literature and fantasy novels.
-
C.
Lloyd Alexander
Lloyd Alexander was an American author best known for his fantasy series "The Chronicles of Prydain," which drew on Welsh mythology and inspired the film adaptation "The Black Cauldron."
-
D.
Michael Bond
Michael Bond was a British author best known for creating the beloved children's character Paddington Bear.
-
E.
Philip Reeve
Philip Reeve is a British author best known for his award-winning science fiction and fantasy novels for young adults, particularly the Mortal Engines series.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e964a53c8190b748e80850e96656 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750c8c7588190a31bac5b774155fe |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 6, 2026, noon