Triple
T21445333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LWT |
E529056
|
entity |
| Predicate | notableProgramme |
P2513
|
FINISHED |
| Object | Minder |
—
|
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: Minder | Statement: [LWT, notableProgramme, Minder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minder Context triple: [LWT, notableProgramme, Minder]
-
A.
Minder
chosen
Minder is a British comedy-drama television series that follows the misadventures of a lovable wheeler-dealer and his bodyguard in London's criminal underworld.
-
B.
Minilla
Minilla is a kaiju from the Godzilla franchise, depicted as Godzilla’s child and known for his more playful, less menacing demeanor compared to his father.
-
C.
Mankessim
Mankessim is a major commercial and historical town in Ghana known as an important market center and traditional seat of the Fante people.
-
D.
Minin
Minin is a Russian surname most famously borne by Kuzma Minin, a merchant from Nizhny Novgorod who became a national hero for organizing resistance against Polish invaders in the early 17th century.
-
E.
Muellama
Muellama is an indigenous Barbacoan language spoken by a small community in the Andean region of South America.
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b707ecd88190b3576b8923840870 |
completed | April 22, 2026, 11:54 a.m. |
Created at: April 16, 2026, 6:05 p.m.