Triple
T11812485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elwin Bruno Christoffel |
E280907
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Elwin |
E165810
|
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: Elwin | Statement: [Elwin Bruno Christoffel, givenName, Elwin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elwin Context triple: [Elwin Bruno Christoffel, givenName, Elwin]
-
A.
Elwyn
chosen
Elwyn is a given name most notably associated with mathematician and coding theorist Elwyn R. Berlekamp.
-
B.
Garon
Garon is the middle name of Jesse Garon Presley, the stillborn identical twin brother of Elvis Presley.
-
C.
Erwin
Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
-
D.
Rolph
Rolph is a surname most notably associated with James Rolph, a prominent early 20th-century American politician and former mayor of San Francisco and governor of California.
-
E.
Alvarus
Alvarus is a Latinized variant of the given name Alvar, historically used in medieval and ecclesiastical contexts.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5cba708819097467bb7aca7fc65 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f131a01aa48190bf5a70759ac886f6 |
completed | April 28, 2026, 10:16 p.m. |
Created at: April 8, 2026, 9:42 p.m.