Triple
T20600466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teddy Lupin |
E506163
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Lupin |
—
|
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: Lupin | Statement: [Teddy Lupin, familyName, Lupin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lupin Context triple: [Teddy Lupin, familyName, Lupin]
-
A.
Lupin
chosen
Lupin is the surname of Remus Lupin, a werewolf and former Defence Against the Dark Arts professor in the Harry Potter series.
-
B.
Lupin
Lupin is a French mystery thriller television series, inspired by the Arsène Lupin novels, in which Omar Sy plays a gentleman thief seeking to avenge his father.
-
C.
Lupin (TV series)
Lupin is a French mystery thriller series on Netflix, starring Omar Sy as a gentleman thief inspired by the classic Arsène Lupin novels.
-
D.
Dr. Bombay
Dr. Bombay is a comedic, eccentric witch doctor character from the classic TV sitcom "Bewitched," known for his flamboyant entrances and magical medical remedies.
-
E.
Parcham
Parcham was a Soviet-aligned, more moderate and urban-based faction of Afghanistan’s communist movement that played a key role in the country’s politics during the late 1970s and 1980s.
- 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_69e0b4ba6ae88190af871e1f9522c704 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aa1ef9ac8190b05e23c149529cb9 |
completed | April 20, 2026, 10:35 p.m. |
Created at: April 16, 2026, 11:41 a.m.