Triple
T23468300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Moder |
E569154
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Moder |
—
|
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: Moder | Statement: [Daniel Moder, familyName, Moder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moder Context triple: [Daniel Moder, familyName, Moder]
-
A.
Moder
chosen
Moder is a river in northeastern France that flows through the Alsace region before joining the Rhine.
-
B.
Major
Major is a common English surname notably borne by former UK Prime Minister John Major and his wife, charity campaigner Norma Major.
-
C.
Major
Major is a mid-level commissioned officer rank in the Portuguese Air Force, typically positioned above captain and below lieutenant colonel.
-
D.
Nevertheless
"Nevertheless" is a popular American song from the early 20th century, widely recorded by various artists and known for its romantic, enduring melody and lyrics.
-
E.
Most
Most is an industrial city in the Ústí nad Labem Region of the Czech Republic, historically known for coal mining and extensive postwar urban redevelopment.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6fd280c81908aae05f0851466eb |
completed | April 29, 2026, 6:36 a.m. |
Created at: April 17, 2026, 5:54 p.m.