Triple
T22259403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Godmothered |
E550177
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Mary Elizabeth Ellis |
—
|
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: Mary Elizabeth Ellis | Statement: [Godmothered, starring, Mary Elizabeth Ellis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Elizabeth Ellis Context triple: [Godmothered, starring, Mary Elizabeth Ellis]
-
A.
Mary Elizabeth Ellis
chosen
Mary Elizabeth Ellis is an American actress and comedian best known for her recurring role as The Waitress on the TV series "It's Always Sunny in Philadelphia."
-
B.
Mary Ellis
Mary Ellis was a British actress known for her work on stage and screen in the early to mid-20th century.
-
C.
Mary Elizabeth Gaud
Mary Elizabeth Gaud is known as the wife of William Gaud, a prominent American lawyer and World Bank official.
-
D.
Mary Elizabeth Lyons
Mary Elizabeth Lyons was the wife of Henry A. Wise, a prominent 19th-century American politician and governor of Virginia.
-
E.
Mary Ellen Henderson
Mary Ellen Henderson was an educator and civil rights advocate whose legacy in promoting equal educational opportunities led to a middle school being named in her honor.
- 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138c5b54c8190854690ba599639fa |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 16, 2026, 8:39 p.m.