Triple
T8877359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Brunswick-Lüneburg |
E211320
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Otto the Child |
E271478
|
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: Otto the Child | Statement: [House of Brunswick-Lüneburg, foundedBy, Otto the Child]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Otto the Child Context triple: [House of Brunswick-Lüneburg, foundedBy, Otto the Child]
-
A.
Otto the Child
chosen
Otto the Child was a 13th-century German nobleman of the Welf dynasty who became the first Duke of Brunswick-Lüneburg and a key regional ruler in northern Germany.
-
B.
Bittendes Kind
"Bittendes Kind" is one of the short, characterful piano pieces in Robert Schumann's "Kinderszenen," depicting the tender, pleading mood of a child.
-
C.
Kleine Emme
Kleine Emme is a river in central Switzerland that flows through the canton of Lucerne before joining the Reuss River.
-
D.
Oskar
Oskar is a masculine given name of Germanic origin, commonly used in various European countries.
-
E.
Tebbe
Tebbe is a German surname that serves as the etymological root for the name Tibbets.
- 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_69ca838e78748190934d82db3104f855 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61496870819097c55c73aca62aac |
completed | April 1, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfabaf57b88190a71d5303767ab517 |
completed | April 3, 2026, 11:59 a.m. |
Created at: March 30, 2026, 6:52 p.m.