Triple
T18382272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betsy Blair |
E446482
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Boger |
—
|
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: Boger | Statement: [Betsy Blair, familyName, Boger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boger Context triple: [Betsy Blair, familyName, Boger]
-
A.
Boger
chosen
Boger is a surname most notably associated with Jerome Boger, a former National Football League referee.
-
B.
Boggs
Boggs is a surname most notably associated with American politician Hale Boggs, who served as a prominent Democratic leader in the U.S. House of Representatives.
-
C.
Boog
Boog is the nickname of Boog Powell, a former Major League Baseball first baseman best known for his power hitting with the Baltimore Orioles in the 1960s and 1970s.
-
D.
Bogar
Bogar is a revered Tamil Siddhar, alchemist, and mystic traditionally credited with esoteric yogic practices, medicinal formulations, and the crafting of sacred idols in South Indian spiritual lore.
-
E.
Bage
Bage is a river in southern France that serves as one of the main tributaries feeding the Lac de Pareloup reservoir.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179c931c8190b1c7c8284f42f7b7 |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 10, 2026, 10:45 a.m.