Triple
T10419907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lammers |
E245617
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Annika Lammers
Annika Lammers is a person notable enough to be recognized as a bearer of the surname Lammers.
|
E862401
|
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: Annika Lammers | Statement: [Lammers, hasNotableBearer, Annika Lammers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annika Lammers Context triple: [Lammers, hasNotableBearer, Annika Lammers]
-
A.
Marlies Schild
Marlies Schild is a retired Austrian alpine ski racer renowned as one of the most successful slalom specialists in World Cup and Olympic history.
-
B.
Connie Palmen
Connie Palmen is a Dutch novelist and essayist known for her psychologically rich, intellectually layered works that explore identity, relationships, and authorship.
-
C.
Verena Rehm
Verena Rehm is a German singer and songwriter best known as the female vocalist for the Eurodance project Groove Coverage.
-
D.
Katrin Houben
Katrin Houben is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Houben.
-
E.
Marlene Tromp
Marlene Tromp is an American academic administrator and scholar who serves as the president of Boise State University.
- 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: Annika Lammers Triple: [Lammers, hasNotableBearer, Annika Lammers]
Generated description
Annika Lammers is a person notable enough to be recognized as a bearer of the surname Lammers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Annika Lammers Target entity description: Annika Lammers is a person notable enough to be recognized as a bearer of the surname Lammers.
-
A.
Marlies Schild
Marlies Schild is a retired Austrian alpine ski racer renowned as one of the most successful slalom specialists in World Cup and Olympic history.
-
B.
Connie Palmen
Connie Palmen is a Dutch novelist and essayist known for her psychologically rich, intellectually layered works that explore identity, relationships, and authorship.
-
C.
Verena Rehm
Verena Rehm is a German singer and songwriter best known as the female vocalist for the Eurodance project Groove Coverage.
-
D.
Katrin Houben
Katrin Houben is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Houben.
-
E.
Marlene Tromp
Marlene Tromp is an American academic administrator and scholar who serves as the president of Boise State University.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea2aa7848190a7091ee71722fcc6 |
completed | April 7, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fc17c874819096b656056ed2dd8a |
completed | April 9, 2026, 7:20 p.m. |
| NEDg | Description generation | batch_69d822d76f3481909f7c04be19414b14 |
completed | April 9, 2026, 10:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d859fd8f0c8190b0fec880e1180e50 |
completed | April 10, 2026, 2:01 a.m. |
Created at: April 6, 2026, 12:11 p.m.