Triple
T3785680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Julius Reuter |
E85524
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Reuter |
E18673
|
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: Reuter | Statement: [Paul Julius Reuter, familyName, Reuter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reuter Context triple: [Paul Julius Reuter, familyName, Reuter]
-
A.
Reuters
chosen
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.
Reut
Reut is a small municipality in Bavaria, Germany, located near the town of Simbach am Inn close to the Austrian border.
-
C.
Sulzberger
Sulzberger is the surname of the prominent American publishing family long associated with ownership and leadership of The New York Times.
-
D.
Bloomberg
Bloomberg is a global financial, software, data, and media company best known for its real-time financial information terminals and business news services.
-
E.
Agence France-Presse
Agence France-Presse is a major international news agency headquartered in Paris that provides global news coverage to media outlets 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee42d2bc88190ab85529fcd1aa20a |
completed | March 9, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f04a35448190a57f431ef703b1e1 |
completed | March 14, 2026, 5:21 a.m. |
Created at: March 9, 2026, 3:13 p.m.