Triple
T20541591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruth Donnelly |
E504348
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ruth Donnelly |
E504348
|
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: Ruth Donnelly | Statement: [Ruth Donnelly, name, Ruth Donnelly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruth Donnelly Context triple: [Ruth Donnelly, name, Ruth Donnelly]
-
A.
Ruth Donnelly
chosen
Ruth Donnelly was an American character actress known for her sharp-tongued, comedic supporting roles in numerous Hollywood films of the 1930s and 1940s.
-
B.
Ruth Cosgrove
Ruth Cosgrove was the wife of American comedian and television pioneer Milton Berle.
-
C.
Deirdre Beddoe
Deirdre Beddoe is a Welsh historian and academic known for her influential work on the history and representation of Welsh women.
-
D.
Maureen Dunlop
Maureen Dunlop was an Argentine-British pilot renowned for her service ferrying military aircraft during World War II and for becoming an iconic face of the Air Transport Auxiliary.
-
E.
Ruth Martin
Ruth Martin is a fictional character from the soap opera "All My Children," known as a matriarchal figure in the Martin family.
- 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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a292dd1c8190b5c3031f3b44eb52 |
completed | April 20, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a096da69304819083401bfe8244b594 |
completed | May 17, 2026, 7:26 a.m. |
Created at: April 16, 2026, 11:37 a.m.