Triple
T22587687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heiner |
E564843
|
entity |
| Predicate | hasVariantForm |
P457
|
FINISHED |
| Object |
Heinerle
Heinerle is a diminutive or affectionate variant of the German given name Heiner.
|
E1544882
|
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: Heinerle | Statement: [Heiner, hasVariantForm, Heinerle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heinerle Context triple: [Heiner, hasVariantForm, Heinerle]
-
A.
Lehwaldt
Lehwaldt was a Prussian field marshal best known for commanding Prussian forces in the early campaigns of the Seven Years' War in Europe.
-
B.
Fahrenkopf
Fahrenkopf is a surname most prominently associated with Frank J. Fahrenkopf Jr., an American lawyer, lobbyist, and former chairman of the Republican National Committee.
-
C.
Ziethe
Ziethe is a small river in Saxony-Anhalt, Germany, that flows through the town of Köthen and forms part of the local drainage system.
-
D.
Riemerschmid
Riemerschmid is a German surname most notably associated with Richard Riemerschmid, a prominent architect and designer of the Jugendstil (Art Nouveau) movement.
-
E.
Heurich
Heurich is a German surname most notably associated with Christian Heurich, a prominent brewer and businessman in Washington, D.C.
- 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: Heinerle Triple: [Heiner, hasVariantForm, Heinerle]
Generated description
Heinerle is a diminutive or affectionate variant of the German given name Heiner.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heinerle Target entity description: Heinerle is a diminutive or affectionate variant of the German given name Heiner.
-
A.
Lehwaldt
Lehwaldt was a Prussian field marshal best known for commanding Prussian forces in the early campaigns of the Seven Years' War in Europe.
-
B.
Fahrenkopf
Fahrenkopf is a surname most prominently associated with Frank J. Fahrenkopf Jr., an American lawyer, lobbyist, and former chairman of the Republican National Committee.
-
C.
Ziethe
Ziethe is a small river in Saxony-Anhalt, Germany, that flows through the town of Köthen and forms part of the local drainage system.
-
D.
Riemerschmid
Riemerschmid is a German surname most notably associated with Richard Riemerschmid, a prominent architect and designer of the Jugendstil (Art Nouveau) movement.
-
E.
Heurich
Heurich is a German surname most notably associated with Christian Heurich, a prominent brewer and businessman in Washington, D.C.
- 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_69e245836014819091b91ed3074742a3 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1615de7d48190b1ca46c76a1e609c |
completed | April 29, 2026, 1:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b3d5a3080819098e696316ae27ec0 |
completed | May 18, 2026, 4:24 p.m. |
| NEDg | Description generation | batch_6a0b423c08dc819084d0acad4e16a380 |
completed | May 18, 2026, 4:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b42fc28fc8190a501a511cfb7c152 |
completed | May 18, 2026, 4:49 p.m. |
Created at: April 17, 2026, 2:46 p.m.