Triple
T3694497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Rogers |
E78423
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Betty Blake |
E78423
|
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: Betty Blake | Statement: [Will Rogers, spouse, Betty Blake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betty Blake Context triple: [Will Rogers, spouse, Betty Blake]
-
A.
Betty Blake
chosen
Betty Blake was the wife of American humorist and entertainer Will Rogers, known for supporting his career and managing family life while he rose to national fame.
-
B.
Betty Blake
Betty Blake is a relatively obscure individual whose specific public notability or distinguishing achievements are not clearly documented.
-
C.
Hester Cooke
Hester Cooke was a daughter of Mayflower passenger and Plymouth Colony settler Francis Cooke, belonging to one of the early families of colonial New England.
-
D.
Betty Furness
Betty Furness was an American actress and television personality best known for her film roles in the 1930s and later as a pioneering consumer affairs advocate on TV.
-
E.
Dolly Sharp
Dolly Sharp was an American adult film actress best known for her role in the landmark 1972 pornographic film "Deep Throat."
- 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_69ad85e3b1888190abc983e06968696d |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4eafd348190986f69aee787fd8f |
completed | March 8, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4cdeee0488190b59e24f8ad48ad5e |
completed | March 14, 2026, 2:54 a.m. |
Created at: March 8, 2026, 3:26 p.m.