Triple
T6988166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Delbrück |
E162016
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Delbrück |
E162016
|
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: Delbrück | Statement: [Max Delbrück, familyName, Delbrück]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delbrück Context triple: [Max Delbrück, familyName, Delbrück]
-
A.
Delbrück
chosen
Delbrück is a German surname most notably associated with Nobel Prize–winning biophysicist Max Delbrück and several other prominent figures in science and humanities.
-
B.
Lippendorf
Lippendorf is a village in Saxony, Germany, historically notable as the birthplace of Katharina von Bora, the wife of Martin Luther.
-
C.
Darmstadt
Darmstadt is a city in the German state of Hesse known for its historical ties to the Grand Duchy of Hesse and its role as a center of science, technology, and Art Nouveau culture.
-
D.
Duderstadt
Duderstadt is a historic small town in southern Lower Saxony, Germany, known for its well-preserved medieval timber-framed architecture and role as a regional center in the Eichsfeld area.
-
E.
Sarstedt
Sarstedt is a small town in Lower Saxony, Germany, situated near Hanover and known for its location along the River Leine.
- 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_69c68856d7808190ab33ee914640281b |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbbd926c8190a8b60527bd553fa3 |
completed | March 27, 2026, 7:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a110ca08190be2aa78948379495 |
completed | March 28, 2026, 5:41 a.m. |
Created at: March 27, 2026, 2:32 p.m.