Triple
T4558453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Maria Elers |
E120535
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Elers
Elers is a surname of likely European origin associated with individuals such as Anna Maria Elers.
|
E453172
|
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: Elers | Statement: [Anna Maria Elers, familyName, Elers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elers Context triple: [Anna Maria Elers, familyName, Elers]
-
A.
Elwyn
Elwyn is a given name most notably associated with mathematician and coding theorist Elwyn R. Berlekamp.
-
B.
Helleren
Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
-
C.
Lorens
Lorens is a character from Paulo Coelho’s novel "Brida," serving as one of the key figures in the protagonist’s spiritual and personal journey.
-
D.
Ehlers
Ehlers is a German surname, likely of North German or Danish origin, that shares an etymological root with the name Ehle.
-
E.
Ernman
Ernman is the surname of Swedish opera singer and environmental activist Malena Ernman.
- 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: Elers Triple: [Anna Maria Elers, familyName, Elers]
Generated description
Elers is a surname of likely European origin associated with individuals such as Anna Maria Elers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elers Target entity description: Elers is a surname of likely European origin associated with individuals such as Anna Maria Elers.
-
A.
Elwyn
Elwyn is a given name most notably associated with mathematician and coding theorist Elwyn R. Berlekamp.
-
B.
Helleren
Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
-
C.
Lorens
Lorens is a character from Paulo Coelho’s novel "Brida," serving as one of the key figures in the protagonist’s spiritual and personal journey.
-
D.
Ehlers
Ehlers is a German surname, likely of North German or Danish origin, that shares an etymological root with the name Ehle.
-
E.
Ernman
Ernman is the surname of Swedish opera singer and environmental activist Malena Ernman.
- 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd5829cc34819086ad2ae58446502e |
completed | March 20, 2026, 2:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdc58c3fb08190ae1bc599d53e6e76 |
completed | March 20, 2026, 10:09 p.m. |
| NEDg | Description generation | batch_69bdc975c07c8190b506bf8ece290739 |
completed | March 20, 2026, 10:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdc9f824a081909df0ae6d89fc8448 |
completed | March 20, 2026, 10:28 p.m. |
Created at: March 20, 2026, 1:09 p.m.