Triple
T23423357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nathaniel Read Silver |
E560723
|
entity |
| Predicate | twitterAccount |
P2943
|
FINISHED |
| Object | @NateSilver538 |
—
|
NE NERFINISHED |
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: @NateSilver538 | Statement: [Nathaniel Read Silver, twitterAccount, @NateSilver538]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: @NateSilver538 Context triple: [Nathaniel Read Silver, twitterAccount, @NateSilver538]
-
A.
Nate Silverstein
Nate Silverstein is an individual notable enough to be recognized as a bearer of the Silverstein surname, though specific widely known public details about him are not established.
-
B.
Nate Silver
chosen
Nate Silver is an American statistician and writer best known for founding the data-driven news site FiveThirtyEight and for his influential election forecasting.
-
C.
FiveThirtyEight
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.
-
D.
Nate Baker
Nate Baker is a musician known for creating the song "Happy Christmas."
-
E.
Nate Fick
Nate Fick is a former U.S. Marine Corps officer and author best known for his memoir "One Bullet Away" and for being portrayed as a central figure in the Iraq War miniseries "Generation Kill."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454cb1108190ab21ada5411a7146 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a54780d88190a7d5c1426b85b7fc |
completed | April 29, 2026, 6:29 a.m. |
Created at: April 17, 2026, 5:47 p.m.