Triple
T10457922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louisa Clark |
E246593
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Jojo Moyes |
E864459
|
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: Jojo Moyes | Statement: [Louisa Clark, creator, Jojo Moyes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jojo Moyes Context triple: [Louisa Clark, creator, Jojo Moyes]
-
A.
Jojo Moyes
chosen
Jojo Moyes is a British novelist and journalist best known for her bestselling romantic drama "Me Before You" and its sequels.
-
B.
Audrey Maas
Audrey Maas is a film producer known for her work on the acclaimed 1974 drama "Alice Doesn't Live Here Anymore."
-
C.
Jennifer Haigh
Jennifer Haigh is an American novelist and short story writer known for her character-driven literary fiction exploring family, class, and the impact of the energy industry on small-town life.
-
D.
Jacqueline Wilson
Jacqueline Wilson is a British children's author best known for her realistic and emotionally rich novels such as "Tracy Beaker," which often explore complex family and social issues.
-
E.
Margot Winspear
Margot Winspear was a philanthropist known for her support of the arts, particularly through major contributions to cultural institutions in Dallas, Texas.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe4a56e08190ab56d762d6a91b01 |
completed | April 7, 2026, 12:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc4fbc3481909b214137f26e243b |
completed | April 10, 2026, 11:17 a.m. |
Created at: April 6, 2026, 12:18 p.m.