Triple
T3232209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henrik |
E67764
|
entity |
| Predicate | isDerivedFrom |
P909
|
FINISHED |
| Object |
Heimrich
Heimrich is a Germanic given name of medieval origin, related to names like Heinrich and Henrik and historically borne by various nobles and notable figures in German-speaking regions.
|
E339207
|
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: Heimrich | Statement: [Henrik, isDerivedFrom, Heimrich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heimrich Context triple: [Henrik, isDerivedFrom, Heimrich]
-
A.
Heimberger
Heimberger is the original surname of American actor Eddie Albert, best known for his role in the television series "Green Acres."
-
B.
Heinrici
Heinrici is a German surname most notably associated with Gotthard Heinrici, a senior Wehrmacht general during World War II.
-
C.
Heurich
Heurich is a German surname most notably associated with Christian Heurich, a prominent brewer and businessman in Washington, D.C.
-
D.
Hermann
Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
-
E.
Hermann
Hermann is a German surname borne by various notable individuals across fields such as philosophy, science, and the arts.
- 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: Heimrich Triple: [Henrik, isDerivedFrom, Heimrich]
Generated description
Heimrich is a Germanic given name of medieval origin, related to names like Heinrich and Henrik and historically borne by various nobles and notable figures in German-speaking regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heimrich Target entity description: Heimrich is a Germanic given name of medieval origin, related to names like Heinrich and Henrik and historically borne by various nobles and notable figures in German-speaking regions.
-
A.
Heimberger
Heimberger is the original surname of American actor Eddie Albert, best known for his role in the television series "Green Acres."
-
B.
Heinrici
Heinrici is a German surname most notably associated with Gotthard Heinrici, a senior Wehrmacht general during World War II.
-
C.
Heurich
Heurich is a German surname most notably associated with Christian Heurich, a prominent brewer and businessman in Washington, D.C.
-
D.
Hermann
Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
-
E.
Hermann
Hermann is a German surname borne by various notable individuals across fields such as philosophy, science, and the arts.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaed99d2c8190950fa883ec6f1f8e |
completed | March 8, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2773492f88190ad97879f29875ae4 |
completed | March 12, 2026, 8:20 a.m. |
| NEDg | Description generation | batch_69b277e70c648190af38b7939be90e67 |
completed | March 12, 2026, 8:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b27879ff6081909f7d7f474d46ac4b |
completed | March 12, 2026, 8:25 a.m. |
Created at: March 8, 2026, 3:08 p.m.