Triple
T22925784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyngby-Taarbæk Municipality |
E569301
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Sofia Osmani
Sofia Osmani is a Danish politician who serves as the mayor of Lyngby-Taarbæk Municipality.
|
E1562136
|
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: Sofia Osmani | Statement: [Lyngby-Taarbæk Municipality, hasMayor, Sofia Osmani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sofia Osmani Context triple: [Lyngby-Taarbæk Municipality, hasMayor, Sofia Osmani]
-
A.
Sofia Akrami
Sofia Akrami is a woman known primarily as the mother of Amir.
-
B.
Sofia Milos
Sofia Milos is an Italian-Swiss actress best known for her roles in television series such as CSI: Miami and The Sopranos.
-
C.
Sofia Shinas
Sofia Shinas is a Canadian actress and singer best known for her role in the 1994 cult film "The Crow."
-
D.
Tirana Hassan
Tirana Hassan is a human rights lawyer and advocate who serves as the executive director of Human Rights Watch, leading global efforts to investigate and expose human rights abuses.
-
E.
Asra Nomani
Asra Nomani is an Indian-American journalist, author, and activist known for her work on Muslim reform, women's rights, and investigative reporting.
- 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: Sofia Osmani Triple: [Lyngby-Taarbæk Municipality, hasMayor, Sofia Osmani]
Generated description
Sofia Osmani is a Danish politician who serves as the mayor of Lyngby-Taarbæk Municipality.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sofia Osmani Target entity description: Sofia Osmani is a Danish politician who serves as the mayor of Lyngby-Taarbæk Municipality.
-
A.
Sofia Akrami
Sofia Akrami is a woman known primarily as the mother of Amir.
-
B.
Sofia Milos
Sofia Milos is an Italian-Swiss actress best known for her roles in television series such as CSI: Miami and The Sopranos.
-
C.
Sofia Shinas
Sofia Shinas is a Canadian actress and singer best known for her role in the 1994 cult film "The Crow."
-
D.
Tirana Hassan
Tirana Hassan is a human rights lawyer and advocate who serves as the executive director of Human Rights Watch, leading global efforts to investigate and expose human rights abuses.
-
E.
Asra Nomani
Asra Nomani is an Indian-American journalist, author, and activist known for her work on Muslim reform, women's rights, and investigative reporting.
- 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180d90a9481908ea10019980b3951 |
completed | April 29, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bc2496f50819098e4bd9a3fa3f6e4 |
completed | May 19, 2026, 1:52 a.m. |
| NEDg | Description generation | batch_6a0bc35c3ea08190a3b9111297774e6c |
completed | May 19, 2026, 1:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bc43eafe081909dfff8b40d624635 |
completed | May 19, 2026, 2 a.m. |
Created at: April 17, 2026, 3:43 p.m.