Triple
T10956325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JT |
E258854
|
entity |
| Predicate | hasPersonnel |
P1211
|
FINISHED |
| Object | Lee Sklar |
E395760
|
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: Lee Sklar | Statement: [JT, hasPersonnel, Lee Sklar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Sklar Context triple: [JT, hasPersonnel, Lee Sklar]
-
A.
Lee Sklar
chosen
Lee Sklar is a renowned American session bassist known for his prolific work with major artists across rock, pop, and film soundtracks since the 1970s.
-
B.
Glen Sobel
Glen Sobel is an American rock drummer best known for his work with Alice Cooper and various high-profile hard rock and metal acts.
-
C.
Mitch Kertzman
Mitch Kertzman is an American technology executive and entrepreneur best known for his leadership roles in the software and semiconductor industries, including at companies like LSI Logic and Sybase.
-
D.
Mark Rosenthal
Mark Rosenthal is an American screenwriter known for co-writing major Hollywood films, including contributing to the story for "Star Trek VI: The Undiscovered Country."
-
E.
Paul Wernick
Paul Wernick is an American screenwriter best known for co-writing the hit Deadpool films and other major Hollywood action-comedies.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7710088e8819099e3272e26566c44 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3447d8cc88190a3e28f204a93a7d3 |
completed | April 18, 2026, 8:44 a.m. |
Created at: April 8, 2026, 9:23 p.m.