Triple
T7941905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vogel |
E184411
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Fogel |
E360006
|
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: Fogel | Statement: [Vogel, hasVariant, Fogel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fogel Context triple: [Vogel, hasVariant, Fogel]
-
A.
Fogel
chosen
Fogel is a surname of likely Ashkenazi Jewish origin borne by various individuals, including the actress Barbara Bain (born Millicent Fogel).
-
B.
Fogell
Fogell, better known by his fake ID name "McLovin," is the awkward, overconfident teen whose disastrous attempt to buy alcohol becomes one of the central comedic plotlines in the film *Superbad*.
-
C.
L’Industrie
L’Industrie is a major work by early socialist thinker Henri de Saint-Simon that outlines his vision of an industrially organized society led by productive classes such as scientists, engineers, and industrialists.
-
D.
Blaustein
Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
-
E.
The Quigley
The Quigley is a notorious water obstacle course at the U.S. Marine Corps Officer Candidates School, known for its muddy trenches, submerged passages, and physically demanding conditions.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b0c16b8819093c5d1719cd65ee3 |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5c1265008190a97ccedf92f9234e |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:09 p.m.