Triple
T13564411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dann Florek |
E323995
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Florek
Florek is a surname most notably associated with American actor Dann Florek, known for his role as Captain Donald Cragen in the Law & Order franchise.
|
E1047138
|
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: Florek | Statement: [Dann Florek, familyName, Florek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Florek Context triple: [Dann Florek, familyName, Florek]
-
A.
Korzeniowski
Korzeniowski is a Polish surname most notably borne by contemporary film and television composer Abel Korzeniowski.
-
B.
Dziewiontkowski
Dziewiontkowski is the birth surname of American actress Amy Ryan, known for her work in film, television, and theater.
-
C.
Witos
Witos is a Polish surname most notably borne by Wincenty Witos, a prominent early 20th-century Polish politician and three-time Prime Minister.
-
D.
Horsztyński
"Horsztyński" is a dramatic work by Polish Romantic poet and playwright Juliusz Słowacki, reflecting his characteristic themes of patriotism, inner conflict, and national struggle.
-
E.
Tadeusz
Tadeusz is a masculine given name of Slavic origin, particularly common in Poland.
- 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: Florek Triple: [Dann Florek, familyName, Florek]
Generated description
Florek is a surname most notably associated with American actor Dann Florek, known for his role as Captain Donald Cragen in the Law & Order franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Florek Target entity description: Florek is a surname most notably associated with American actor Dann Florek, known for his role as Captain Donald Cragen in the Law & Order franchise.
-
A.
Korzeniowski
Korzeniowski is a Polish surname most notably borne by contemporary film and television composer Abel Korzeniowski.
-
B.
Dziewiontkowski
Dziewiontkowski is the birth surname of American actress Amy Ryan, known for her work in film, television, and theater.
-
C.
Witos
Witos is a Polish surname most notably borne by Wincenty Witos, a prominent early 20th-century Polish politician and three-time Prime Minister.
-
D.
Horsztyński
"Horsztyński" is a dramatic work by Polish Romantic poet and playwright Juliusz Słowacki, reflecting his characteristic themes of patriotism, inner conflict, and national struggle.
-
E.
Tadeusz
Tadeusz is a masculine given name of Slavic origin, particularly common in Poland.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb00bbe848190bb33efe2af528295 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75daf1bfc8190bf22eb9ef242f54f |
completed | May 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69f75f9c6a8881908a6df0a9a4bbc7ab |
completed | May 3, 2026, 2:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7601770ac8190a03be23cfe66d5d1 |
completed | May 3, 2026, 2:47 p.m. |
Created at: April 9, 2026, 9:47 p.m.