Triple
T22384361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Makinson |
E553356
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Pearson plc |
—
|
NE NERFINISHED |
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: Pearson plc | Statement: [John Makinson, employer, Pearson plc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pearson plc Context triple: [John Makinson, employer, Pearson plc]
-
A.
Pearson plc
chosen
Pearson plc is a British multinational publishing and education company known for its global textbook, assessment, and digital learning services.
-
B.
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.
-
C.
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.
-
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.
Bertelsmann
Bertelsmann is a major German multinational media, services, and education conglomerate known for owning prominent publishing and broadcasting companies worldwide.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1582e58dc8190a2ad6b10c9d1f951 |
completed | April 29, 2026, 1 a.m. |
Created at: April 16, 2026, 8:45 p.m.