Triple
T9565629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Sadoski |
E230781
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Sadoski
Sadoski is a surname most notably associated with American actor Thomas Sadoski, known for his work in film, television, and theater.
|
E807913
|
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: Sadoski | Statement: [Thomas Sadoski, familyName, Sadoski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sadoski Context triple: [Thomas Sadoski, familyName, Sadoski]
-
A.
Vuchetich
Vuchetich is a Russian surname most notably borne by Soviet sculptor Yevgeny Vuchetich, renowned for his monumental war memorials.
-
B.
Saru
Saru is a Kelpien Starfleet officer in Star Trek: Discovery, known for his cautious nature, strong moral compass, and eventual rise to command.
-
C.
Rattenberg
Rattenberg is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany, known for its rural setting and traditional Bavarian character.
-
D.
Muren
Muren is the surname of Dennis Muren, a renowned visual effects artist known for his groundbreaking work in films such as Star Wars and Jurassic Park.
-
E.
Poulus
Poulus is a personal name variant derived from the given name Poul.
- 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: Sadoski Triple: [Thomas Sadoski, familyName, Sadoski]
Generated description
Sadoski is a surname most notably associated with American actor Thomas Sadoski, known for his work in film, television, and theater.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sadoski Target entity description: Sadoski is a surname most notably associated with American actor Thomas Sadoski, known for his work in film, television, and theater.
-
A.
Vuchetich
Vuchetich is a Russian surname most notably borne by Soviet sculptor Yevgeny Vuchetich, renowned for his monumental war memorials.
-
B.
Saru
Saru is a Kelpien Starfleet officer in Star Trek: Discovery, known for his cautious nature, strong moral compass, and eventual rise to command.
-
C.
Rattenberg
Rattenberg is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany, known for its rural setting and traditional Bavarian character.
-
D.
Muren
Muren is the surname of Dennis Muren, a renowned visual effects artist known for his groundbreaking work in films such as Star Wars and Jurassic Park.
-
E.
Poulus
Poulus is a personal name variant derived from the given name Poul.
- 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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd996c0a1081908a8356c454e60f74 |
completed | April 1, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152abb0788190ab2e204d9a082ccf |
completed | April 4, 2026, 6:04 p.m. |
| NEDg | Description generation | batch_69d15565623c81908112183b65464553 |
completed | April 4, 2026, 6:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1560bbe3481908c98d74d21b33e63 |
completed | April 4, 2026, 6:18 p.m. |
Created at: March 30, 2026, 8:04 p.m.