Triple
T1531184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pearson |
E32445
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Pearson English |
E32445
|
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 English | Statement: [Pearson, hasBrand, Pearson English]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pearson English Context triple: [Pearson, hasBrand, Pearson English]
-
A.
Pearson
chosen
Pearson is a major British multinational publishing and education company known for its textbooks, assessments, and digital learning solutions worldwide.
-
B.
Collins Educational
Collins Educational is an imprint of the British publishing house William Collins, Sons, specializing in educational books and learning materials.
-
C.
Houghton Mifflin
Houghton Mifflin is a major American publishing company known for its educational materials, textbooks, and notable works of fiction and non-fiction.
-
D.
Holt, Rinehart and Winston
Holt, Rinehart and Winston is an American publishing company known for producing a wide range of educational textbooks and notable works of literature.
-
E.
Heinemann publishing group
Heinemann publishing group is a British publishing company known for its literary fiction, educational materials, and classic literature imprints.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90816b5e88190aa92a8558e35744b |
completed | March 5, 2026, 4:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad2957e6e4819087504a16bc32d60b |
completed | March 8, 2026, 7:46 a.m. |
Created at: March 4, 2026, 7:26 p.m.