Triple
T18901465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magic Kingdom of Landover |
E462349
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Witches’ Brew |
—
|
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: Witches’ Brew | Statement: [Magic Kingdom of Landover, hasPart, Witches’ Brew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Witches’ Brew Context triple: [Magic Kingdom of Landover, hasPart, Witches’ Brew]
-
A.
Witches’ Brew
chosen
Witches’ Brew is a fantasy novel by Terry Brooks in the Magic Kingdom of Landover series, following the adventures and political intrigues of Ben Holiday in his enchanted realm.
-
B.
Witches Stew
Witches Stew is a jazz-funk album by the band Lettuce, known for its groove-heavy, improvisational style.
-
C.
Witching and Bitching
Witching and Bitching is a 2013 Spanish horror-comedy film that blends supernatural witchcraft with dark satire and frenetic action.
-
D.
Witchery
Witchery is a Swedish blackened thrash metal band known for its aggressive sound and horror-themed lyrics.
-
E.
Burn the Witch
"Burn the Witch" is a 2016 Radiohead song known for its tense, orchestral arrangement and politically charged lyrics critiquing authoritarianism and social paranoia.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52954bc8190a237627c09615ac1 |
completed | April 20, 2026, 6:18 a.m. |
Created at: April 10, 2026, 11:58 a.m.