Triple
T506963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reinhard Heydrich |
E10522
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Reinhard
Reinhard is a masculine German given name historically borne by several notable figures, including high-ranking officials in Nazi Germany.
|
E74166
|
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: Reinhard | Statement: [Reinhard Heydrich, givenName, Reinhard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reinhard Context triple: [Reinhard Heydrich, givenName, Reinhard]
-
A.
Hermann
Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
-
B.
Gerhard
Gerhard is a masculine given name of German origin, historically common in German-speaking countries.
-
C.
Wilhelm
Wilhelm is a Germanic given name, equivalent to William, historically borne by numerous European nobles, rulers, and notable figures.
-
D.
Erwin
Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
-
E.
Ruprecht
Ruprecht is a German given name, cognate with Robert, traditionally borne by various historical figures and saints in German-speaking regions.
- 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: Reinhard Triple: [Reinhard Heydrich, givenName, Reinhard]
Generated description
Reinhard is a masculine German given name historically borne by several notable figures, including high-ranking officials in Nazi Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Reinhard Target entity description: Reinhard is a masculine German given name historically borne by several notable figures, including high-ranking officials in Nazi Germany.
-
A.
Hermann
Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
-
B.
Gerhard
Gerhard is a masculine given name of German origin, historically common in German-speaking countries.
-
C.
Wilhelm
Wilhelm is a Germanic given name, equivalent to William, historically borne by numerous European nobles, rulers, and notable figures.
-
D.
Erwin
Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
-
E.
Ruprecht
Ruprecht is a German given name, cognate with Robert, traditionally borne by various historical figures and saints in German-speaking regions.
- 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_69a2e848adf881908e5e04f7af030093 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f14c83f08190b1028f4929866db4 |
completed | Feb. 28, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5154d3a70819097de31be3b753523 |
completed | March 2, 2026, 4:42 a.m. |
| NEDg | Description generation | batch_69a516a9b95081908b7c947edd0ef268 |
completed | March 2, 2026, 4:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5173b405081908135a9b03e1bb11f |
completed | March 2, 2026, 4:51 a.m. |
Created at: Feb. 28, 2026, 1:12 p.m.