Triple
T728853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Adams |
E14787
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Adams |
E20001
|
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: Adams | Statement: [Samuel Adams, familyName, Adams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adams Context triple: [Samuel Adams, familyName, Adams]
-
A.
Adams
chosen
Adams is a common English surname borne by numerous notable figures in fields such as politics, literature, science, and entertainment.
-
B.
Jefferson
Jefferson is the middle name of William Jefferson "Bill" Clinton, the 42nd president of the United States.
-
C.
John Adams
John Adams was a Founding Father of the United States who served as the nation’s second president and was a leading advocate for independence and republican government.
-
D.
Franklin
Franklin is the given name of Franklin D. Roosevelt, the 32nd president of the United States who led the country through the Great Depression and World War II.
-
E.
Franklin
Franklin is a common English surname borne by numerous notable individuals across fields such as politics, science, and the arts.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5c155908190a73a40195f6281b1 |
completed | March 1, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a678759a2881909da848991d7d3ef4 |
completed | March 3, 2026, 5:58 a.m. |
Created at: March 1, 2026, 7:37 p.m.