Triple
T14316951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | REL |
E354981
|
entity |
| Predicate | underlyingCompanyFormerName |
P80361
|
FINISHED |
| Object | Reed Elsevier |
E91281
|
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: Reed Elsevier | Statement: [REL, underlyingCompanyFormerName, Reed Elsevier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reed Elsevier Context triple: [REL, underlyingCompanyFormerName, Reed Elsevier]
-
A.
Wolters Kluwer
Wolters Kluwer is a global information services and publishing company specializing in professional solutions for the legal, tax, accounting, health, and regulatory sectors.
-
B.
Elsevier
chosen
Elsevier is a major Dutch academic publishing company known for producing and distributing scientific, technical, and medical journals, books, and research databases worldwide.
-
C.
Pearson plc
Pearson plc is a British multinational publishing and education company known for its global textbook, assessment, and digital learning services.
-
D.
Thomson Reuters
Thomson Reuters is a multinational media and information services company best known for providing news, legal, financial, and business information to professionals worldwide.
-
E.
Informa plc
Informa plc is a British multinational publishing, business intelligence, and events company known for owning academic publisher Taylor & Francis and organizing major trade exhibitions and conferences worldwide.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8838e45c819080ee69dd39e3bd43 |
completed | April 14, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd468a3b788190812ff0eed84fd139 |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:12 a.m.