Triple
T20044089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heinz Lammerding |
E497508
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lammerding
Lammerding is a German surname most notably associated with Heinz Lammerding, an SS officer involved in World War II atrocities.
|
E1408811
|
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: Lammerding | Statement: [Heinz Lammerding, familyName, Lammerding]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lammerding Context triple: [Heinz Lammerding, familyName, Lammerding]
-
A.
Mezvinsky
Mezvinsky is a surname most prominently associated with the American political family connected to Chelsea Clinton through her husband, Marc Mezvinsky.
-
B.
Mr. Keuner
Mr. Keuner is a philosophical everyman figure created by Bertolt Brecht, used in a series of parable-like stories to explore ethical, political, and existential questions.
-
C.
Kaltenborn
Kaltenborn is a small municipality in the Ahrweiler district of Rhineland-Palatinate, western Germany, situated in the Eifel region.
-
D.
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.
-
E.
Plobsheim
Plobsheim is a commune in northeastern France situated near Strasbourg in the Grand Est region.
- 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: Lammerding Triple: [Heinz Lammerding, familyName, Lammerding]
Generated description
Lammerding is a German surname most notably associated with Heinz Lammerding, an SS officer involved in World War II atrocities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lammerding Target entity description: Lammerding is a German surname most notably associated with Heinz Lammerding, an SS officer involved in World War II atrocities.
-
A.
Mezvinsky
Mezvinsky is a surname most prominently associated with the American political family connected to Chelsea Clinton through her husband, Marc Mezvinsky.
-
B.
Mr. Keuner
Mr. Keuner is a philosophical everyman figure created by Bertolt Brecht, used in a series of parable-like stories to explore ethical, political, and existential questions.
-
C.
Kaltenborn
Kaltenborn is a small municipality in the Ahrweiler district of Rhineland-Palatinate, western Germany, situated in the Eifel region.
-
D.
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.
-
E.
Plobsheim
Plobsheim is a commune in northeastern France situated near Strasbourg in the Grand Est region.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662ed59bc8190a9ff25493e500ebb |
completed | April 20, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0816015e4c8190a65c4713ee9823a6 |
completed | May 16, 2026, 7 a.m. |
| NEDg | Description generation | batch_6a0816c0375c8190b940f3d0d6391b4c |
completed | May 16, 2026, 7:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a081798cb48819084ab456f79b68eb9 |
completed | May 16, 2026, 7:07 a.m. |
Created at: April 11, 2026, 3:37 p.m.