Triple
T6605288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maren Svarstad |
E149101
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Maren
Maren is a feminine given name of Scandinavian origin, commonly used in Norway and Denmark.
|
E601792
|
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: Maren | Statement: [Maren Svarstad, givenName, Maren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maren Context triple: [Maren Svarstad, givenName, Maren]
-
A.
Sheilia
Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
-
B.
Krista
Krista is a feminine given name, typically considered a variant of Christina and used in various European and English-speaking countries.
-
C.
Karin
Karin is a feminine given name used in various cultures, often considered a variant of names like Karen or Katherine.
-
D.
Bauline
Bauline is a small coastal town in Newfoundland and Labrador, Canada, located on the Avalon Peninsula near St. John’s.
-
E.
Nena
Nena is a German pop singer and actress best known internationally for her 1983 hit song "99 Luftballons."
- 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: Maren Triple: [Maren Svarstad, givenName, Maren]
Generated description
Maren is a feminine given name of Scandinavian origin, commonly used in Norway and Denmark.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maren Target entity description: Maren is a feminine given name of Scandinavian origin, commonly used in Norway and Denmark.
-
A.
Sheilia
Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
-
B.
Krista
Krista is a feminine given name, typically considered a variant of Christina and used in various European and English-speaking countries.
-
C.
Karin
Karin is a feminine given name used in various cultures, often considered a variant of names like Karen or Katherine.
-
D.
Bauline
Bauline is a small coastal town in Newfoundland and Labrador, Canada, located on the Avalon Peninsula near St. John’s.
-
E.
Nena
Nena is a German pop singer and actress best known internationally for her 1983 hit song "99 Luftballons."
- 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_69c687eaa7508190bb58ce2aa02039b3 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af13151c81909b68fa6c77e1c482 |
completed | March 27, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbc8f1308190a4afcf10a5a7105e |
completed | March 27, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69c6cd09753c81909df166156ffbf82a |
completed | March 27, 2026, 6:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6ce9ba47c819091496c87117e7a03 |
completed | March 27, 2026, 6:38 p.m. |
Created at: March 27, 2026, 1:56 p.m.