Triple
T14055100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy M. Huffington |
E338196
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Roy M. Huffington |
E338196
|
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: Roy M. Huffington | Statement: [Roy M. Huffington, name, Roy M. Huffington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roy M. Huffington Context triple: [Roy M. Huffington, name, Roy M. Huffington]
-
A.
Roy M. Huffington
chosen
Roy M. Huffington was an American oilman, founder of Huffco, and former U.S. Ambassador to Austria.
-
B.
Michael Huffington
Michael Huffington is an American politician and businessman, known for his 1994 U.S. Senate run in California and his former marriage to media entrepreneur Arianna Huffington.
-
C.
Dan Sullivan
Dan Sullivan is a Republican U.S. Senator from Alaska, known for his work on national security, energy policy, and Arctic issues.
-
D.
Peter D. Kaufman
Peter D. Kaufman is an American businessman, author, and educator best known for his work on multidisciplinary thinking and his close association with Charlie Munger’s investment philosophy.
-
E.
Jim Burnstein
Jim Burnstein is an American screenwriter best known for co-writing the 1994 film "Renaissance Man" and for his work as a screenwriting professor and mentor.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c8d1aa48190a5055d15d9fa220c |
completed | April 14, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb6608cf8819087ed5d890b82650a |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:20 p.m.