Triple
T23459385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bakish |
E568924
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Bob Bakish |
—
|
NE NERFINISHED |
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: Bob Bakish | Statement: [Bakish, hasNotableBearer, Bob Bakish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Bakish Context triple: [Bakish, hasNotableBearer, Bob Bakish]
-
A.
Bob Bakish
chosen
Bob Bakish is an American media executive who serves as the president and chief executive officer of Paramount Global, overseeing its global entertainment and streaming operations.
-
B.
Charles LaBahn
Charles LaBahn is the namesake benefactor of LaBahn Arena, recognized for his significant support of University of Wisconsin athletics.
-
C.
Thomas Siebel
Thomas Siebel is an American technology entrepreneur best known as the founder of Siebel Systems and later the cloud computing company C3.ai.
-
D.
Jim Lewis
Jim Lewis is a writer best known for his extensive work on Muppet-related projects, contributing scripts and material for various films, shows, and attractions.
-
E.
Paul E. Jacobs
Paul E. Jacobs is an American engineer and business executive best known for serving as CEO and chairman of Qualcomm, a leading wireless technology company.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a699c0088190a84d7a495a3e3d61 |
completed | April 29, 2026, 6:35 a.m. |
Created at: April 17, 2026, 5:53 p.m.