Triple
T13491513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen T. Early |
E318642
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Associated Press |
E45934
|
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: Associated Press | Statement: [Stephen T. Early, employer, Associated Press]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Associated Press Context triple: [Stephen T. Early, employer, Associated Press]
-
A.
Associated Press
chosen
The Associated Press is a major American not-for-profit news agency and cooperative known for its global news coverage and influential photojournalism.
-
B.
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.
-
C.
National Newspaper Service
National Newspaper Service is a newspaper syndication company that distributed comic strips and features, notably including the Buck Rogers series.
-
D.
Agence France-Presse
Agence France-Presse is a major international news agency headquartered in Paris that provides global news coverage to media outlets worldwide.
-
E.
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.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf4c66008190b287e0551889d7c8 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7463b758c8190abc0dd2a049d751e |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:43 p.m.