Triple
T3567415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Jablonsky |
E75483
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Jablonsky
Jablonsky is a surname most prominently associated with Steve Jablonsky, an American composer known for his film and video game scores, including the Transformers series.
|
E369777
|
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: Jablonsky | Statement: [Steve Jablonsky, familyName, Jablonsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jablonsky Context triple: [Steve Jablonsky, familyName, Jablonsky]
-
A.
Zaslofsky
Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
-
B.
Kubelsky
Kubelsky is the original surname of American comedian and entertainer Jack Benny, born Benjamin Kubelsky.
-
C.
Zaleski
Zaleski is a Polish surname most notably borne by August Zaleski, a prominent Polish diplomat and statesman who served as President of Poland in exile.
-
D.
Majchrowski
Majchrowski is a Polish surname most notably borne by Jacek Majchrowski, a long-serving mayor of Kraków and prominent political figure.
-
E.
Palicki
Palicki is a surname most notably associated with American actress Adrianne Palicki, known for her roles in television and film.
- 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: Jablonsky Triple: [Steve Jablonsky, familyName, Jablonsky]
Generated description
Jablonsky is a surname most prominently associated with Steve Jablonsky, an American composer known for his film and video game scores, including the Transformers series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jablonsky Target entity description: Jablonsky is a surname most prominently associated with Steve Jablonsky, an American composer known for his film and video game scores, including the Transformers series.
-
A.
Zaslofsky
Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
-
B.
Kubelsky
Kubelsky is the original surname of American comedian and entertainer Jack Benny, born Benjamin Kubelsky.
-
C.
Zaleski
Zaleski is a Polish surname most notably borne by August Zaleski, a prominent Polish diplomat and statesman who served as President of Poland in exile.
-
D.
Majchrowski
Majchrowski is a Polish surname most notably borne by Jacek Majchrowski, a long-serving mayor of Kraków and prominent political figure.
-
E.
Palicki
Palicki is a surname most notably associated with American actress Adrianne Palicki, known for her roles in television and film.
- 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_69ad85d512708190829c8b2d3a2ccfb8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0ab51d881908f004fae47ab09d9 |
completed | March 8, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bbb01d108190bd098c86b0180b78 |
completed | March 13, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69b3bc2f3c1c8190906e34e8c70287cb |
completed | March 13, 2026, 7:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3f5b2fdcc8190842d2d7bd09c65c4 |
completed | March 13, 2026, 11:32 a.m. |
Created at: March 8, 2026, 3:21 p.m.