Triple
T18657458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Death by China |
E456103
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Pearson Prentice Hall |
—
|
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 Prentice Hall | Statement: [Death by China, publisher, Pearson Prentice Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pearson Prentice Hall Context triple: [Death by China, publisher, Pearson Prentice Hall]
-
A.
Prentice Hall
chosen
Prentice Hall is a major American educational and professional publishing company known for its textbooks and academic titles across a wide range of disciplines.
-
B.
Pearson
Pearson is a major British multinational publishing and education company known for its textbooks, assessments, and digital learning solutions worldwide.
-
C.
Pearson
"Pearson" is a legal drama television series starring Gina Torres as a powerful Chicago lawyer navigating the complex world of city politics.
-
D.
Pearson
Pearson is a common English surname borne by numerous notable individuals across fields such as business, politics, sports, and entertainment.
-
E.
McGraw-Hill
McGraw-Hill is a major American educational publishing company known for producing textbooks and academic resources across a wide range of disciplines.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e550864b0481909e59fbcc79fda839 |
completed | April 19, 2026, 10 p.m. |
Created at: April 10, 2026, 11:48 a.m.