Triple
T3790678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Marie Lehn |
E89638
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lehn
Lehn is the surname of Jean-Marie Lehn, a Nobel Prize–winning French chemist renowned for pioneering the field of supramolecular chemistry.
|
E388810
|
NE FINISHED |
How this triple was built (4 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.
Löwenthal
Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
-
B.
Erasbach
Erasbach is a small locality in Bavaria, Germany, best known as the birthplace of the composer Christoph Willibald Gluck.
-
C.
Biesenthal
Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
-
D.
Wertheim
Wertheim is a German-origin surname borne by various notable individuals in fields such as finance, philanthropy, and the arts.
-
E.
Heurich
Heurich is a German surname most notably associated with Christian Heurich, a prominent brewer and businessman in Washington, D.C.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lehn Triple: [Jean-Marie Lehn, familyName, Lehn]
Generated description
Lehn is the surname of Jean-Marie Lehn, a Nobel Prize–winning French chemist renowned for pioneering the field of supramolecular chemistry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lehn Target entity description: Lehn is the surname of Jean-Marie Lehn, a Nobel Prize–winning French chemist renowned for pioneering the field of supramolecular chemistry.
-
A.
Löwenthal
Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
-
B.
Erasbach
Erasbach is a small locality in Bavaria, Germany, best known as the birthplace of the composer Christoph Willibald Gluck.
-
C.
Biesenthal
Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
-
D.
Wertheim
Wertheim is a German-origin surname borne by various notable individuals in fields such as finance, philanthropy, and the arts.
-
E.
Heurich
Heurich is a German surname most notably associated with Christian Heurich, a prominent brewer and businessman in Washington, D.C.
- F. None of above. chosen
Provenance (5 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_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee7687c4481908d5e6988e2638b68 |
completed | March 9, 2026, 3:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f055e3988190a1b3633e390c0d6f |
completed | March 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69b4f2094c988190a812194ef5598cdf |
completed | March 14, 2026, 5:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4f26aee948190b95c94801f0959ec |
completed | March 14, 2026, 5:30 a.m. |
Created at: March 9, 2026, 3:15 p.m.