Triple
T12639869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nabby Adams |
E301864
|
entity |
| Predicate | correspondentWith |
P4768
|
FINISHED |
| Object | John Adams |
E316
|
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: John Adams | Statement: [Nabby Adams, correspondentWith, John Adams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Adams Context triple: [Nabby Adams, correspondentWith, John Adams]
-
A.
John Adams
chosen
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.
-
B.
John Adams
John Adams is a 2008 HBO historical miniseries that dramatizes the life and political career of the second U.S. president, John Adams, during the founding of the United States.
-
C.
John Adams
John Adams is a prominent American composer known for his influential contributions to contemporary classical music and minimalist-inspired orchestral and operatic works.
-
D.
John Madison
John Madison is a notable individual who shares the Madison surname, which is historically associated with prominent American political figures.
-
E.
M. Jefferson
M. Jefferson is an author known for contributing written works to the publication "Wetter."
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961499de08190bdba66ca40b021be |
completed | April 10, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68eab6148819080a58e20499186fa |
completed | May 2, 2026, 11:54 p.m. |
Created at: April 9, 2026, 5:16 p.m.