Triple
T6092099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Bewkes |
E135789
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jeffrey Lawrence Bewkes |
E25251
|
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: Jeffrey Lawrence Bewkes | Statement: [Jeff Bewkes, name, Jeffrey Lawrence Bewkes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeffrey Lawrence Bewkes Context triple: [Jeff Bewkes, name, Jeffrey Lawrence Bewkes]
-
A.
Jeff Bewkes
chosen
Jeff Bewkes is an American media executive best known for leading Time Warner through major strategic shifts, including the spin-off of its cable division and the expansion of its television and film assets.
-
B.
Gerald Levin
Gerald Levin is an American media executive best known for leading Time Warner as CEO and orchestrating its landmark merger with AOL.
-
C.
Jeff Zucker
Jeff Zucker is an American media executive best known for serving as president and CEO of NBC Universal and later as president of CNN Worldwide.
-
D.
Max Iger
Max Iger is a member of the Iger family best known as one of the children of longtime Disney CEO Bob Iger.
-
E.
Michael Eisner
Michael Eisner is an American businessman and former longtime CEO of The Walt Disney Company, known for overseeing its major expansion in the late 20th century.
- 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057ab7324819086d4708e6f9391c0 |
completed | March 22, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c125365a7481909e40d01c2d3590aa |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:12 p.m.