Triple
T6294184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eckert |
E141088
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Nathalie Eckert
Nathalie Eckert is a notable individual recognized for achievements significant enough to be associated with the surname Eckert.
|
E591625
|
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: Nathalie Eckert | Statement: [Eckert, hasNotableBearer, Nathalie Eckert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nathalie Eckert Context triple: [Eckert, hasNotableBearer, Nathalie Eckert]
-
A.
Stéphanie Von Euw
Stéphanie Von Euw is a French politician who serves as the mayor of the city of Pontoise in the Île-de-France region.
-
B.
Amélie Nikisch
Amélie Nikisch was a German operatic soprano and voice teacher active in the late 19th and early 20th centuries.
-
C.
Carolin Emcke
Carolin Emcke is a German journalist, author, and public intellectual known for her writings on violence, human rights, and social justice.
-
D.
Nadja Schildknecht
Nadja Schildknecht is a Swiss film producer and cultural entrepreneur best known as a co-founder and driving force behind the internationally recognized Zurich Film Festival.
-
E.
Ines Knauss
Ines Knauss is an Austrian-born artist best known as the sister of former U.S. First Lady Melania Trump.
- 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: Nathalie Eckert Triple: [Eckert, hasNotableBearer, Nathalie Eckert]
Generated description
Nathalie Eckert is a notable individual recognized for achievements significant enough to be associated with the surname Eckert.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nathalie Eckert Target entity description: Nathalie Eckert is a notable individual recognized for achievements significant enough to be associated with the surname Eckert.
-
A.
Stéphanie Von Euw
Stéphanie Von Euw is a French politician who serves as the mayor of the city of Pontoise in the Île-de-France region.
-
B.
Amélie Nikisch
Amélie Nikisch was a German operatic soprano and voice teacher active in the late 19th and early 20th centuries.
-
C.
Carolin Emcke
Carolin Emcke is a German journalist, author, and public intellectual known for her writings on violence, human rights, and social justice.
-
D.
Nadja Schildknecht
Nadja Schildknecht is a Swiss film producer and cultural entrepreneur best known as a co-founder and driving force behind the internationally recognized Zurich Film Festival.
-
E.
Ines Knauss
Ines Knauss is an Austrian-born artist best known as the sister of former U.S. First Lady Melania Trump.
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06438654481908c9833c5f0d61773 |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640a7ef8881909b00ce1f479f0fb4 |
completed | March 27, 2026, 8:32 a.m. |
| NEDg | Description generation | batch_69c6417c37a08190821e0a1c1771fa88 |
completed | March 27, 2026, 8:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c641d7131481908dd007023327d5a4 |
completed | March 27, 2026, 8:37 a.m. |
Created at: March 22, 2026, 4:27 p.m.