Triple
T18247670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warren Olney Jr. |
E436995
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Warren Olney Jr. |
—
|
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: Warren Olney Jr. | Statement: [Warren Olney Jr., name, Warren Olney Jr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warren Olney Jr. Context triple: [Warren Olney Jr., name, Warren Olney Jr.]
-
A.
Warren Olney, Jr.
chosen
Warren Olney, Jr. was an American lawyer best known as a founding partner of the prominent Los Angeles law firm O'Melveny & Myers.
-
B.
Warren Olney III
Warren Olney III is an American lawyer and former high-ranking U.S. Department of Justice official who led the Criminal Division as Assistant Attorney General.
-
C.
Warren Wilhelm Jr.
Warren Wilhelm Jr. is the birth name of Bill de Blasio, the American politician who served as the 109th mayor of New York City from 2014 to 2021.
-
D.
Warren Seymour Johnson
Warren Seymour Johnson was an American inventor and entrepreneur best known for pioneering automatic temperature control systems and founding the company that became Johnson Controls.
-
E.
Glenn Fleshler
Glenn Fleshler is an American character actor known for his intense and often menacing roles in film and television, including appearances in projects like "True Detective," "Billions," and "Joker."
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e89b288190a286797ec2cd60a8 |
completed | April 19, 2026, 3:42 p.m. |
Created at: April 10, 2026, 10:33 a.m.