Triple
T16769248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schäffer |
E407548
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Schaffer |
E1072905
|
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: Schaffer | Statement: [Schäffer, hasVariant, Schaffer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schaffer Context triple: [Schäffer, hasVariant, Schaffer]
-
A.
Schaffer
chosen
Schaffer is a surname most notably associated with Akiva Schaffer, an American comedian, writer, and director known for his work with The Lonely Island and on Saturday Night Live.
-
B.
Shaffer
Shaffer is a surname of English origin borne by various notable individuals across fields such as literature, law, and the arts.
-
C.
Schaeffer
Schaeffer is a surname most prominently associated with Francis Schaeffer, a 20th-century American evangelical theologian, philosopher, and Presbyterian pastor known for his influential writings on Christianity and culture.
-
D.
Schafer
Schafer is a surname of German origin borne by various notable individuals across fields such as entertainment, sports, and academia.
-
E.
Schäffer
Schäffer is a German surname associated with various notable figures in politics, academia, and the arts.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b0356a9c8190b316cd00223e7537 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a533e83481909966a7b86c8c8e64 |
completed | May 10, 2026, 3:33 p.m. |
Created at: April 10, 2026, 5:21 a.m.