Triple
T16063982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herbert de Reuter |
E389686
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Reuters |
E354974
|
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: Reuters | Statement: [Herbert de Reuter, employer, Reuters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reuters Context triple: [Herbert de Reuter, employer, Reuters]
-
A.
Reuters
Reuters is a major international news agency and media organization known for providing real-time news and financial information to outlets and markets worldwide.
-
B.
Associated Press
The Associated Press is a major American not-for-profit news agency and cooperative known for its global news coverage and influential photojournalism.
-
C.
United Press International
United Press International is a major American news agency known for providing global news coverage, wire services, and syndicated content to media outlets worldwide.
-
D.
Reuters Limited
chosen
Reuters Limited is a major international news organization known for providing real-time news, financial data, and information services to media outlets, businesses, and professionals worldwide.
-
E.
Republic.com
Republic.com is a book by legal scholar Cass Sunstein that examines how the internet and personalized media can fragment public discourse and threaten democratic deliberation.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837b048881908326739bbede756f |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb8cca308190875432a5cf5f8616 |
completed | May 10, 2026, 2:21 a.m. |
Created at: April 10, 2026, 4:57 a.m.