Triple
T5996484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nate Silver |
E133481
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | FiveThirtyEight |
E560724
|
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: FiveThirtyEight | Statement: [Nate Silver, founded, FiveThirtyEight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FiveThirtyEight Context triple: [Nate Silver, founded, FiveThirtyEight]
-
A.
FiveThirtyEight
chosen
FiveThirtyEight is a data-driven news and analysis website best known for its statistical modeling and forecasts of U.S. elections, sports, and other topics.
-
B.
Bleacher Report
Bleacher Report is a digital sports media company known for its real-time coverage, analysis, and social-first content across major sports and leagues.
-
C.
The Ringer
The Ringer is a popular crime thriller by Edgar Wallace featuring a mysterious master of disguise who returns to London to exact revenge.
-
D.
Nate Silver
Nate Silver is an American statistician and writer best known for founding the data-driven news site FiveThirtyEight and for his influential election forecasting.
-
E.
Sporting News
Sporting News is a long-running American sports media outlet known for its in-depth coverage, analysis, and awards across major professional and college sports.
- 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_69c00870ddbc81909880fa3864f4f38d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04e963f3c819082dd755e328ab947 |
completed | March 22, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11cd900a48190b5aa83c28b3dfc1a |
completed | March 23, 2026, 10:58 a.m. |
Created at: March 22, 2026, 4:05 p.m.