Triple
T14294915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isaac Boxtel |
E354412
|
entity |
| Predicate | appearsInLanguageEdition |
P44721
|
FINISHED |
| Object | original French edition of The Black Tulip |
—
|
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: original French edition of The Black Tulip | Statement: [Isaac Boxtel, appearsInLanguageEdition, original French edition of The Black Tulip]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInLanguageEdition Context triple: [Isaac Boxtel, appearsInLanguageEdition, original French edition of The Black Tulip]
-
A.
languageOfAvailableEditions
Indicates the language in which the available editions of a work or resource are published.
-
B.
publisherLanguageEdition
Indicates the specific language edition in which a publisher issues or has issued a work.
-
C.
languageOfOfficialEditions
Indicates the language in which the official editions or versions of a work, document, or publication are produced or authorized.
-
D.
presentedInLanguage
Indicates that something (such as content, information, or a work) is expressed or made available using a particular language.
-
E.
hasEditionIn
chosen
Indicates that one entity has a specific edition or version that exists or is available in another entity (such as a particular format, language, or location).
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717b35ec81908968994e65737c66 |
completed | April 14, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69de2a8f81f08190af737e1654847aa6 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:11 a.m.