Triple
T16029657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Marie Lehn |
E388810
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Lehn |
E388810
|
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: Lehn | Statement: [Jean-Marie Lehn, familyName, Lehn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lehn Context triple: [Jean-Marie Lehn, familyName, Lehn]
-
A.
Lehn
chosen
Lehn is the surname of Jean-Marie Lehn, a Nobel Prize–winning French chemist renowned for pioneering the field of supramolecular chemistry.
-
B.
Löwenthal
Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
-
C.
Leuenberg
Leuenberg is a village in Switzerland known as the site where major European Protestant churches concluded the Leuenberg Agreement on church fellowship.
-
D.
Hirschstein
Hirschstein is a small municipality in the German state of Saxony, situated within the broader Leipzig metropolitan region.
-
E.
Lebzelter
Lebzelter is the original surname of American character actor Jack Warden, known for his prolific film and television career in the mid-20th century.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1832a56ec8190a47fd2cf83a42fd4 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf35ae808190aeb154a273c32a70 |
completed | May 10, 2026, 12:20 a.m. |
Created at: April 10, 2026, 4:56 a.m.