Triple
T14530450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolters Kluwer |
E340897
|
entity |
| Predicate | hasPredecessor |
P97
|
FINISHED |
| Object | Kluwer |
E340897
|
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: Kluwer | Statement: [Wolters Kluwer, hasPredecessor, Kluwer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kluwer Context triple: [Wolters Kluwer, hasPredecessor, Kluwer]
-
A.
Mouton de Gruyter
Mouton de Gruyter is an academic publishing house known for its specialized works in linguistics and related fields.
-
B.
Wolters Kluwer
chosen
Wolters Kluwer is a global information services and publishing company specializing in professional solutions for the legal, tax, accounting, health, and regulatory sectors.
-
C.
M. E. Sharpe
M. E. Sharpe is an academic publishing company known for its scholarly books and journals in the social sciences and humanities.
-
D.
Elsevier
Elsevier is a major Dutch academic publishing company known for producing and distributing scientific, technical, and medical journals, books, and research databases worldwide.
-
E.
Springer
Springer is a surname most prominently associated in contemporary sports with George Springer, an American professional baseball outfielder and World Series MVP.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea052d01c81909c8592c351be6f35 |
completed | April 14, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a547c408190a1a19e12aac1d5bd |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.