Triple
T17534312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caroline Böhmer |
E427016
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Michaelis
Michaelis is a German-language surname borne by various notable individuals across fields such as theology, science, and the arts.
|
E1273820
|
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: Michaelis | Statement: [Caroline Böhmer, familyName, Michaelis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michaelis Context triple: [Caroline Böhmer, familyName, Michaelis]
-
A.
Michaeli
Michaeli is a Hebrew-language surname borne by various Israeli public figures, including politicians, academics, and artists.
-
B.
Levitch
Levitch is the family surname of the famed American comedian, actor, and filmmaker Jerry Lewis.
-
C.
Krogh
Krogh is a Norwegian surname borne by various notable figures in politics, science, and the arts.
-
D.
Monod
Monod is the surname of Jacques Monod, the Nobel Prize–winning French biochemist known for his pioneering work on gene regulation and the lac operon.
-
E.
Mileikowsky
Mileikowsky is a Jewish family name notably borne by Benzion Mileikowsky, a Zionist activist and scholar and father of Israeli Prime Minister Benjamin Netanyahu.
- 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: Michaelis Triple: [Caroline Böhmer, familyName, Michaelis]
Generated description
Michaelis is a German-language surname borne by various notable individuals across fields such as theology, science, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michaelis Target entity description: Michaelis is a German-language surname borne by various notable individuals across fields such as theology, science, and the arts.
-
A.
Michaeli
Michaeli is a Hebrew-language surname borne by various Israeli public figures, including politicians, academics, and artists.
-
B.
Levitch
Levitch is the family surname of the famed American comedian, actor, and filmmaker Jerry Lewis.
-
C.
Krogh
Krogh is a Norwegian surname borne by various notable figures in politics, science, and the arts.
-
D.
Monod
Monod is the surname of Jacques Monod, the Nobel Prize–winning French biochemist known for his pioneering work on gene regulation and the lac operon.
-
E.
Mileikowsky
Mileikowsky is a Jewish family name notably borne by Benzion Mileikowsky, a Zionist activist and scholar and father of Israeli Prime Minister Benjamin Netanyahu.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4536ac7f48190994f7b39a6a811d7 |
completed | April 19, 2026, 4 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c94e4e208190a241ea586d3f3a38 |
completed | May 11, 2026, 12:19 p.m. |
| NEDg | Description generation | batch_6a01ca84f3388190aa2eda694f91a17b |
completed | May 11, 2026, 12:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01cb0b3cec8190afc6cf6dd1e4d896 |
completed | May 11, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:49 a.m.