Triple
T22052295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lupin (TV series) |
E544913
|
entity |
| Predicate | secondSeasonTitle |
P61670
|
FINISHED |
| Object | Lupin: Part 2 |
—
|
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: Part 2 | Statement: [Lupin (TV series), secondSeasonTitle, Lupin: Part 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lupin: Part 2 Context triple: [Lupin (TV series), secondSeasonTitle, Lupin: Part 2]
-
A.
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.
-
B.
Lupin
Lupin is the surname of Remus Lupin, a werewolf and former Defence Against the Dark Arts professor in the Harry Potter series.
-
C.
Lupin
chosen
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.
-
D.
Udta Punjab
Udta Punjab is a 2016 Indian crime drama film that explores the drug abuse crisis in the state of Punjab through the intersecting lives of several characters.
-
E.
K.G.F: Chapter 2
K.G.F: Chapter 2 is a 2022 Indian Kannada-language action film and the sequel to K.G.F: Chapter 1, known for its high-octane storytelling, stylized violence, and massive box-office success.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1285513fc8190b691e1f57085956f |
completed | April 28, 2026, 9:36 p.m. |
Created at: April 16, 2026, 8:26 p.m.