Triple
T11986218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Barber |
E285285
|
entity |
| Predicate | hasWorkedFor |
P11675
|
FINISHED |
| Object | Pearson PLC |
E679854
|
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: Pearson PLC | Statement: [Michael Barber, hasWorkedFor, Pearson PLC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pearson PLC Context triple: [Michael Barber, hasWorkedFor, 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.
Penguin Group
Penguin Group was a major British publishing company renowned for its influential paperback editions and literary classics before its merger into Penguin Random House.
-
D.
Pearson
Pearson is a major British multinational publishing and education company known for its textbooks, assessments, and digital learning solutions 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903acbb9081908fe7f8360057785c |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f47237c23081909044388ff5dc73b3 |
completed | May 1, 2026, 9:28 a.m. |
Created at: April 8, 2026, 9:46 p.m.