Triple
T6714442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yolanda Adams |
E153229
|
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: [Yolanda Adams, familyName, Adams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adams Context triple: [Yolanda 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.
W. Adams
W. Adams is an author best known for writing the work titled "Gold Digger."
-
C.
John Maxwell Adams
John Maxwell Adams was the father of Joan Mondale, who was the wife of former U.S. Vice President Walter Mondale.
-
D.
Jefferson
Jefferson is a small city in northeastern Georgia that serves as the county seat of Jackson County and lies within the state's historic gold-mining region.
-
E.
Jefferson
Jefferson is a domestic cat known by the given name "Jefferson."
- 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d122d6cc81909bde0c94fb95f016 |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70afa805c819098312fc0d06ec115 |
completed | March 27, 2026, 10:55 p.m. |
Created at: March 27, 2026, 2:07 p.m.