Triple
T14316578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reuters Events |
E354971
|
entity |
| Predicate | parentOrganization |
P254
|
FINISHED |
| Object | Thomson Reuters |
E13647
|
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: Thomson Reuters | Statement: [Reuters Events, parentOrganization, Thomson Reuters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomson Reuters Context triple: [Reuters Events, parentOrganization, Thomson Reuters]
-
A.
Thomson Reuters
chosen
Thomson Reuters is a multinational media and information services company best known for providing news, legal, financial, and business information to professionals worldwide.
-
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.
S&P Global
S&P Global is a leading financial information and analytics company best known for its credit ratings, market indices, and data services used by investors and institutions worldwide.
-
D.
Refinitiv
Refinitiv is a global provider of financial market data and infrastructure, offering real-time and historical information, analytics, and trading solutions to financial professionals and institutions.
-
E.
Pearson plc
Pearson plc is a British multinational publishing and education company known for its global textbook, assessment, and digital learning services.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8838e45c819080ee69dd39e3bd43 |
completed | April 14, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5506cfb08190b4754e16b83331bd |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:12 a.m.