Triple
T14576927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Wells |
E342076
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mary Wells |
E342076
|
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: Mary Wells | Statement: [Mary Wells, name, Mary Wells]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Wells Context triple: [Mary Wells, name, Mary Wells]
-
A.
Mary Wells
chosen
Mary Wells was a pioneering American soul and pop singer, often called "The First Lady of Motown" for hits like "My Guy" that helped define the label's early success.
-
B.
Mary Lou Adams
Mary Lou Adams is best known as the former wife of American pop artist James Rosenquist.
-
C.
Della Smith
Della Smith is a character in the political thriller film "State of Play," where she works as a journalist alongside Cal McCaffrey.
-
D.
Mary Wills
Mary Wills was an American costume designer known for her work on major mid-20th-century Hollywood films and for winning an Academy Award for Best Costume Design.
-
E.
Lucille Wilson
Lucille Wilson was the fourth wife of jazz legend Louis Armstrong, known for her long marriage to him and for preserving and promoting his legacy.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f5ec448190b2ef887fdf7b633e |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b3da8f08190b70b08532dfc22ba |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:24 a.m.