Triple
T17198671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter Bodmer |
E417418
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bodmer
Bodmer is a surname most prominently associated with Sir Walter Bodmer, a British human geneticist known for his contributions to population genetics and cancer research.
|
E1256602
|
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: Bodmer | Statement: [Walter Bodmer, familyName, Bodmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bodmer Context triple: [Walter Bodmer, familyName, Bodmer]
-
A.
Bomer
Bomer is the surname of American actor Matt Bomer, known for his roles in television and film such as "White Collar" and "The Normal Heart."
-
B.
Bertramus
Bertramus is a Latinized variant of the given name Bertram, historically used in medieval and ecclesiastical contexts.
-
C.
Darré
Darré is a German surname most notably associated with Walter Darré, a leading agrarian ideologue and high-ranking official in Nazi Germany.
-
D.
Burchard
Burchard is a masculine given name of Germanic origin historically borne by several medieval nobles and church figures.
-
E.
Tatischeff
Tatischeff is the original family surname of French filmmaker and actor Jacques Tati, known for his influential comedic films and the character Monsieur Hulot.
- 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: Bodmer Triple: [Walter Bodmer, familyName, Bodmer]
Generated description
Bodmer is a surname most prominently associated with Sir Walter Bodmer, a British human geneticist known for his contributions to population genetics and cancer research.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bodmer Target entity description: Bodmer is a surname most prominently associated with Sir Walter Bodmer, a British human geneticist known for his contributions to population genetics and cancer research.
-
A.
Bomer
Bomer is the surname of American actor Matt Bomer, known for his roles in television and film such as "White Collar" and "The Normal Heart."
-
B.
Bertramus
Bertramus is a Latinized variant of the given name Bertram, historically used in medieval and ecclesiastical contexts.
-
C.
Darré
Darré is a German surname most notably associated with Walter Darré, a leading agrarian ideologue and high-ranking official in Nazi Germany.
-
D.
Burchard
Burchard is a masculine given name of Germanic origin historically borne by several medieval nobles and church figures.
-
E.
Tatischeff
Tatischeff is the original family surname of French filmmaker and actor Jacques Tati, known for his influential comedic films and the character Monsieur Hulot.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42daca29081909837494d8d516634 |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fd7ef048190b0828ec6ea0e119c |
completed | May 11, 2026, 4:49 a.m. |
| NEDg | Description generation | batch_6a01636d8f008190975bcd8d9124ec88 |
completed | May 11, 2026, 5:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0163d510908190906a3b186e840688 |
completed | May 11, 2026, 5:06 a.m. |
Created at: April 10, 2026, 5:38 a.m.