Triple
T9748591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ophelia Dahl |
E236378
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Dahl |
E121485
|
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: Dahl | Statement: [Ophelia Dahl, familyName, Dahl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dahl Context triple: [Ophelia Dahl, familyName, Dahl]
-
A.
Roald Dahl
chosen
Roald Dahl was a British author famed for his darkly imaginative children's books such as "Charlie and the Chocolate Factory" and "Matilda," as well as his work in adult fiction and screenwriting.
-
B.
Blyton
Blyton is the surname of Enid Mary Blyton, the prolific British children's author known for series such as "The Famous Five" and "The Secret Seven."
-
C.
Michael Bond
Michael Bond was a British author best known for creating the beloved children's character Paddington Bear.
-
D.
Marc Brown
Marc Brown is an American author and illustrator best known for creating the popular children's book and television series "Arthur."
-
E.
Hugh Lofting
Hugh Lofting was a British author best known for creating the beloved children's book series about Doctor Dolittle, a physician who can talk to animals.
- 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f68f8b88190b44babf5ae17dfef |
completed | April 1, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1b01678f88190900a941b9d111c58 |
completed | April 5, 2026, 12:43 a.m. |
Created at: March 30, 2026, 8:23 p.m.