Triple
T15436536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Jablonsky |
E369777
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Jablonsky |
E369777
|
NE FINISHED |
How this triple was built (2 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.
Jablonsky
chosen
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.
-
B.
Zaslofsky
Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
-
C.
Kubelsky
Kubelsky is the original surname of American comedian and entertainer Jack Benny, born Benjamin Kubelsky.
-
D.
Mrugowsky
Mrugowsky is a German surname most notably associated with Joachim Mrugowsky, an SS officer and physician involved in Nazi human experimentation during World War II.
-
E.
Starobinski
Starobinski is a surname most notably associated with Jean Starobinski, a prominent Swiss literary critic, historian of ideas, and physician.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03edca064819081510bf303271062 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21a5e55c81909801db54032589ac |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:21 a.m.