Triple
T6887118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marjorie Main |
E158948
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Percy Kilbride |
E386909
|
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: Percy Kilbride | Statement: [Marjorie Main, workedWith, Percy Kilbride]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Percy Kilbride Context triple: [Marjorie Main, workedWith, Percy Kilbride]
-
A.
Percy Kilbride
chosen
Percy Kilbride was an American character actor best known for playing the amiable, slow-talking Pa Kettle in a popular series of mid-20th-century comedy films.
-
B.
Percy Humphrey
Percy Humphrey was an American jazz trumpeter and bandleader closely associated with the New Orleans traditional jazz scene.
-
C.
William Norrie
William Norrie was a Canadian politician who served as the long-time mayor of Winnipeg, Manitoba.
-
D.
Arthur Dignam
Arthur Dignam was an Australian actor known for his distinctive character roles in film, television, and theatre.
-
E.
Edwin Broun
Edwin Broun Fred was an American bacteriologist and academic who served as president of the University of Wisconsin–Madison in the mid-20th century.
- 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_69c688342f6c8190ad7eea6ba262db99 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d90e92488190b738676342ac6393 |
completed | March 27, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bf709c4c819090c35eb41f46f5d2 |
completed | March 28, 2026, 11:45 a.m. |
Created at: March 27, 2026, 2:23 p.m.