Triple
T15595548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvie Vartan |
E374883
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Iskrets
Iskrets is a small village in western Bulgaria, notable as the birthplace of French-Bulgarian singer and actress Sylvie Vartan.
|
E1167119
|
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: Iskrets | Statement: [Sylvie Vartan, placeOfBirth, Iskrets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iskrets Context triple: [Sylvie Vartan, placeOfBirth, Iskrets]
-
A.
Beli Iskar
Beli Iskar is a mountain river in Bulgaria that flows through the Rila Mountains and feeds into the Iskar River.
-
B.
Ivisan
Ivisan is a coastal municipality in the province of Capiz in the Western Visayas region of the Philippines.
-
C.
Iskorosten
Iskorosten was the principal city of the East Slavic Drevlians, known from early medieval Kievan Rus' history and associated with conflicts involving Princess Olga of Kiev.
-
D.
Kaleibar
Kaleibar is a small historic city in northwestern Iran known for its mountainous landscapes and proximity to the Babak Castle fortress.
-
E.
Krewo
Krewo is a historic village in present-day Belarus, best known as the site where the Union of Krewo was concluded in 1385, marking a pivotal dynastic union between the Kingdom of Poland and the Grand Duchy of Lithuania.
- 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: Iskrets Triple: [Sylvie Vartan, placeOfBirth, Iskrets]
Generated description
Iskrets is a small village in western Bulgaria, notable as the birthplace of French-Bulgarian singer and actress Sylvie Vartan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Iskrets Target entity description: Iskrets is a small village in western Bulgaria, notable as the birthplace of French-Bulgarian singer and actress Sylvie Vartan.
-
A.
Beli Iskar
Beli Iskar is a mountain river in Bulgaria that flows through the Rila Mountains and feeds into the Iskar River.
-
B.
Ivisan
Ivisan is a coastal municipality in the province of Capiz in the Western Visayas region of the Philippines.
-
C.
Iskorosten
Iskorosten was the principal city of the East Slavic Drevlians, known from early medieval Kievan Rus' history and associated with conflicts involving Princess Olga of Kiev.
-
D.
Kaleibar
Kaleibar is a small historic city in northwestern Iran known for its mountainous landscapes and proximity to the Babak Castle fortress.
-
E.
Krewo
Krewo is a historic village in present-day Belarus, best known as the site where the Union of Krewo was concluded in 1385, marking a pivotal dynastic union between the Kingdom of Poland and the Grand Duchy of Lithuania.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e5f9db8819083abf80f01f32b3d |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56ca72ec8190a237db843dc6d625 |
completed | May 9, 2026, 3:46 p.m. |
| NEDg | Description generation | batch_69ff58a93fb481908cedf981caf1bb23 |
completed | May 9, 2026, 3:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff59718048819086a1d0ba773e9a92 |
completed | May 9, 2026, 3:57 p.m. |
Created at: April 10, 2026, 4:12 a.m.