Triple
T14203746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heini |
E352029
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Heiner |
E564843
|
NE FINISHED |
How this triple was built (2 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: Heiner | Statement: [Heini, hasVariant, Heiner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heiner Context triple: [Heini, hasVariant, Heiner]
-
A.
Heiner
chosen
Heiner is a masculine given name of German origin, commonly used in German-speaking countries.
-
B.
Heiner Friedrich
Heiner Friedrich is a German art dealer and collector best known as a co-founder of the Dia Art Foundation and a major patron of Minimalist and Conceptual art.
-
C.
Heike Makatsch
Heike Makatsch is a German actress and former television presenter known internationally for her roles in films such as "Love Actually" and "Resident Evil."
-
D.
Hinrich Helmstede
Hinrich Helmstede was a medieval German architect best known for designing the iconic Holstentor city gate in Lübeck.
-
E.
Heino Ferch
Heino Ferch is a German actor known for his versatile performances in film, television, and theater, often in historical and dramatic roles.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61f6d4d481909128084e82e6a58a |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd1951421c81908959634e66857b61 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:05 a.m.