Triple
T1186186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Bewkes |
E25251
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jeff 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: Jeff Bewkes | Statement: [Jeff Bewkes, name, Jeff Bewkes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Bewkes Context triple: [Jeff Bewkes, name, Jeff 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.
John Donahoe
John Donahoe is an American business executive best known as the CEO of Nike, Inc. and former CEO of eBay and ServiceNow.
-
D.
Mark Parker
Mark Parker is an American businessman best known for serving as the longtime CEO and later executive chairman of Nike, Inc.
-
E.
Dick Costolo
Dick Costolo is an American entrepreneur and former stand-up comedian best known for serving as CEO of Twitter during its rapid growth and public offering in the early 2010s.
- 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd53e4b48190abb2167f8074a6bc |
completed | March 1, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac764a5f508190a54c8f01cf0b0d11 |
completed | March 7, 2026, 7:02 p.m. |
Created at: March 1, 2026, 7:45 p.m.