Triple
T6669476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stefan Stec |
E151688
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Stec
Stec is a Polish surname borne by various notable individuals in fields such as aviation, sports, and the arts.
|
E610239
|
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: Stec | Statement: [Stefan Stec, familyName, Stec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stec Context triple: [Stefan Stec, familyName, Stec]
-
A.
Stod
Stod is a small town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for surrounding municipalities.
-
B.
Stiva
Stiva is the familiar nickname of Stepan Arkadyevich Oblonsky, a charming, pleasure-loving Moscow nobleman and key supporting character in Leo Tolstoy’s novel "Anna Karenina."
-
C.
Steffl
Steffl is the popular nickname for the iconic south tower of St. Stephen's Cathedral in Vienna, a prominent symbol of the city's skyline.
-
D.
Stoll
Stoll is a surname most prominently associated with American actor Corey Stoll, known for his roles in film and television such as "House of Cards" and "Ant-Man."
-
E.
Stavka
Stavka was the high command of the Soviet armed forces during World War II, responsible for overall strategic direction and coordination of military operations.
- 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: Stec Triple: [Stefan Stec, familyName, Stec]
Generated description
Stec is a Polish surname borne by various notable individuals in fields such as aviation, sports, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stec Target entity description: Stec is a Polish surname borne by various notable individuals in fields such as aviation, sports, and the arts.
-
A.
Stod
Stod is a small town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for surrounding municipalities.
-
B.
Stiva
Stiva is the familiar nickname of Stepan Arkadyevich Oblonsky, a charming, pleasure-loving Moscow nobleman and key supporting character in Leo Tolstoy’s novel "Anna Karenina."
-
C.
Steffl
Steffl is the popular nickname for the iconic south tower of St. Stephen's Cathedral in Vienna, a prominent symbol of the city's skyline.
-
D.
Stoll
Stoll is a surname most prominently associated with American actor Corey Stoll, known for his roles in film and television such as "House of Cards" and "Ant-Man."
-
E.
Stavka
Stavka was the high command of the Soviet armed forces during World War II, responsible for overall strategic direction and coordination of military operations.
- 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_69c687f71fc081909dbd45d6377f6045 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0c7d9148190b3fbb870851d917b |
completed | March 27, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6ef12fcfc819086b37dc9b9929663 |
completed | March 27, 2026, 8:56 p.m. |
| NEDg | Description generation | batch_69c6f0a498cc8190a0494082b91b012d |
completed | March 27, 2026, 9:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f136ac648190b94a7cda43139fd0 |
completed | March 27, 2026, 9:05 p.m. |
Created at: March 27, 2026, 2:02 p.m.