Triple
T17876072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siegl |
E446956
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Siegel |
—
|
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: Siegel | Statement: [Siegl, hasVariant, Siegel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siegel Context triple: [Siegl, hasVariant, Siegel]
-
A.
Siegel
chosen
Siegel is the surname of Benjamin "Bugsy" Siegel, the infamous American mobster who played a key role in the development of Las Vegas.
-
B.
Sigel
Sigel is a surname most notably associated with American cinematographer Newton Thomas Sigel, known for his work on major Hollywood films.
-
C.
Siegert
Siegert is a German-language surname most notably associated with Johann Gottlieb Benjamin Siegert, the 19th-century creator of Angostura bitters.
-
D.
Seidenberg
Seidenberg is a German surname most notably associated with former professional ice hockey defenseman Dennis Seidenberg.
-
E.
Schechter
Schechter is a Jewish surname most notably associated with Solomon Schechter, a prominent rabbi and scholar who helped shape Conservative Judaism.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49aa614b48190bdc9e905e9e6d5e0 |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 10:18 a.m.