Triple
T20210168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Firewhisky |
E493467
|
entity |
| Predicate | medium |
P166
|
FINISHED |
| Object | Harry Potter novels |
—
|
NE NERFINISHED |
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: Harry Potter novels | Statement: [Firewhisky, medium, Harry Potter novels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Potter novels Context triple: [Firewhisky, medium, Harry Potter novels]
-
A.
Harry Potter novel series
chosen
The Harry Potter novel series is J.K. Rowling’s globally popular seven-book fantasy saga chronicling the coming-of-age and battles of young wizard Harry Potter in the magical world.
-
B.
Harry Potter
Harry Potter is a young wizard who attends Hogwarts School of Witchcraft and Wizardry and becomes famous for surviving an attack by the dark wizard Lord Voldemort.
-
C.
Potter
Potter is the surname of Beatrix Potter, the renowned English writer, illustrator, and natural scientist best known for her children's books featuring animal characters such as Peter Rabbit.
-
D.
Potter
Potter is a masculine given name most notably borne by U.S. Supreme Court Justice Potter Stewart.
-
E.
Potter
Potter is a small town located in Yates County in the Finger Lakes region of New York State.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ed4706c81908a5e4a3023a9c22f |
completed | April 20, 2026, 6:22 p.m. |
Created at: April 11, 2026, 11:38 p.m.