Triple
T5111201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hogsmeade |
E115216
|
entity |
| Predicate | hasShop |
P23299
|
FINISHED |
| Object | Zonko's Joke Shop |
E492890
|
NE FINISHED |
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: Zonko's Joke Shop | Statement: [Hogsmeade, hasShop, Zonko's Joke Shop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zonko's Joke Shop Context triple: [Hogsmeade, hasShop, Zonko's Joke Shop]
-
A.
Zonko's Joke Shop
chosen
Zonko's Joke Shop is a popular Hogsmeade novelty store in the Harry Potter series, famed for selling magical jokes, pranks, and trick items to Hogwarts students.
-
B.
The Joke
"The Joke" is a critically acclaimed, anthemic ballad by American singer-songwriter Brandi Carlile that champions marginalized and misunderstood people.
-
C.
Knock Knock
"Knock Knock" is a prominent work by the artist Smog, known for its introspective, lo-fi indie sound and emotionally resonant songwriting.
-
D.
Knock Knock
"Knock Knock" is a song that appears as the B-side to Monica's single "So Gone."
-
E.
Knock Knock
Knock Knock is a 2015 psychological thriller film directed by Eli Roth, in which Keanu Reeves plays a married man whose life unravels after he lets two mysterious young women into his home.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd4441d1648190a54a533895041987 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75ad362c8190b9cbded390aaea3c |
completed | March 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bebaaa394c8190bd93cdf57475a5b6 |
completed | March 21, 2026, 3:35 p.m. |
Created at: March 20, 2026, 1:41 p.m.