Triple
T16300097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lee Sklar |
E395760
|
entity |
| Predicate | name |
P16
|
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: [Lee Sklar, name, Lee Sklar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Sklar Context triple: [Lee Sklar, name, 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.
Alan Schlesinger
Alan Schlesinger is an American politician and attorney best known as the Republican nominee in the high-profile 2006 U.S. Senate race in Connecticut against Joe Lieberman and Ned Lamont.
-
D.
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.
-
E.
Greg Levitan
Greg Levitan is a film editor best known for his work on the animated feature "The Mitchells vs. the Machines."
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e31c9e8819094593f3aeb44f2ca |
completed | April 17, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f9fb2908190a8521b1ccf49170a |
completed | May 10, 2026, 6:03 a.m. |
Created at: April 10, 2026, 5:06 a.m.