Triple
T18210652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Todd Lincoln Beckwith |
E436022
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Beckwith |
—
|
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: Beckwith | Statement: [Robert Todd Lincoln Beckwith, familyName, Beckwith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beckwith Context triple: [Robert Todd Lincoln Beckwith, familyName, Beckwith]
-
A.
Beckwith
chosen
Beckwith is an English-origin surname borne by various notable individuals across fields such as politics, the arts, and academia.
-
B.
Noonan
Noonan is the surname of Peggy Noonan, a prominent American political speechwriter, author, and columnist.
-
C.
Albright
Albright is a surname most notably associated with American journalist and author Joseph Medill Patterson Albright.
-
D.
Kippel
Kippel is a small Swiss mountain village and municipality in the canton of Valais, known for its traditional wooden houses and alpine scenery.
-
E.
Gotaas-Larsen
Gotaas-Larsen was a Norwegian shipping company and maritime enterprise that played a key role in the early development of modern cruise operations.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e228a7fc81909cfcf11cf7ce1360 |
completed | April 19, 2026, 2:09 p.m. |
Created at: April 10, 2026, 10:32 a.m.