Triple
T12205855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Placzek |
E290833
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Placzek
Placzek is a surname most notably associated with Czech physicist George Placzek, known for his contributions to nuclear physics and quantum mechanics.
|
E971696
|
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: Placzek | Statement: [George Placzek, familyName, Placzek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Placzek Context triple: [George Placzek, familyName, Placzek]
-
A.
Mezvinsky
Mezvinsky is a surname most prominently associated with the American political family connected to Chelsea Clinton through her husband, Marc Mezvinsky.
-
B.
Palicki
Palicki is a surname most notably associated with American actress Adrianne Palicki, known for her roles in television and film.
-
C.
Leisen
Leisen is a surname most notably associated with Mitchell Leisen, a prominent American film director and art director of Hollywood’s classic era.
-
D.
Feliks
Feliks is a given name, commonly used in Slavic and other European languages, that corresponds to the name Felix.
-
E.
Zaslofsky
Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
- 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: Placzek Triple: [George Placzek, familyName, Placzek]
Generated description
Placzek is a surname most notably associated with Czech physicist George Placzek, known for his contributions to nuclear physics and quantum mechanics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Placzek Target entity description: Placzek is a surname most notably associated with Czech physicist George Placzek, known for his contributions to nuclear physics and quantum mechanics.
-
A.
Mezvinsky
Mezvinsky is a surname most prominently associated with the American political family connected to Chelsea Clinton through her husband, Marc Mezvinsky.
-
B.
Palicki
Palicki is a surname most notably associated with American actress Adrianne Palicki, known for her roles in television and film.
-
C.
Leisen
Leisen is a surname most notably associated with Mitchell Leisen, a prominent American film director and art director of Hollywood’s classic era.
-
D.
Nitzschka
Nitzschka is a village and district of the town of Wurzen in the Free State of Saxony, Germany.
-
E.
Feliks
Feliks is a given name, commonly used in Slavic and other European languages, that corresponds to the name Felix.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c7c9084819085e7d2f9038f409f |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a9ae3d48190a220ccd37ce8d3e7 |
completed | May 2, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_69f60fe34e688190bf7915eea917815c |
completed | May 2, 2026, 2:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f610b8efe88190907e84247d9e8456 |
completed | May 2, 2026, 2:56 p.m. |
Created at: April 8, 2026, 9:51 p.m.