Triple
T18266689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raymond Reiter |
E437501
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Reiter |
—
|
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: Reiter | Statement: [Raymond Reiter, familyName, Reiter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reiter Context triple: [Raymond Reiter, familyName, Reiter]
-
A.
Reiter
chosen
Reiter is a German surname borne by various notable individuals, including astronauts, scientists, and artists.
-
B.
Reichel
Reichel is a surname of German origin borne by various notable individuals across fields such as sports, arts, and academia.
-
C.
Rázus
Rázus is a Slovak surname most notably borne by Martin Rázus, a prominent Slovak writer, poet, and politician.
-
D.
Rattenberg
Rattenberg is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany, known for its rural setting and traditional Bavarian character.
-
E.
Rylsk
Rylsk is a historic town that once served as the political and administrative center of the medieval Principality of Rylsk in Eastern Europe.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff7af85c81909859e7247738a535 |
completed | April 19, 2026, 4:14 p.m. |
Created at: April 10, 2026, 10:34 a.m.