Triple
T977542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wizarding World of Harry Potter |
E21089
|
entity |
| Predicate | featuresEntertainment |
P6628
|
FINISHED |
| Object | wand-choosing show |
—
|
LITERAL 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: wand-choosing show | Statement: [The Wizarding World of Harry Potter, featuresEntertainment, wand-choosing show]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresEntertainment Context triple: [The Wizarding World of Harry Potter, featuresEntertainment, wand-choosing show]
-
A.
genreFeatures
Indicates that a particular genre is characterized or defined by certain features or attributes.
-
B.
specialFeature
Indicates that an entity possesses a distinctive or noteworthy attribute, capability, or characteristic that sets it apart from others.
-
C.
featuresText
Indicates that an entity includes or presents a specific piece of text as one of its characteristics or contents.
-
D.
featuresEvent
chosen
Indicates that an entity includes, presents, or highlights a particular event as part of its content or offering.
-
E.
inFilmAndTV
Indicates that the subject appears or is featured within the context of film and television works.
- F. None of above.
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_69a493c2b62c8190b616351789ec47f8 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b47861808190be56a7bbd926e658 |
completed | March 1, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a8a3b08190b4538e119b13f7f5 |
completed | March 1, 2026, 9:42 p.m. |
Created at: March 1, 2026, 7:40 p.m.