Triple
T7057216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orvil E. Dryfoos |
E164123
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Orvil E. Dryfoos |
E164123
|
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: Orvil E. Dryfoos | Statement: [Orvil E. Dryfoos, name, Orvil E. Dryfoos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orvil E. Dryfoos Context triple: [Orvil E. Dryfoos, name, Orvil E. Dryfoos]
-
A.
Orvil E. Dryfoos
chosen
Orvil E. Dryfoos was an American newspaper executive who briefly served as publisher of The New York Times in the early 1960s.
-
B.
Carl Lerner
Carl Lerner was an American film editor best known for his work on influential films of the 1960s and 1970s, including the thriller "Klute."
-
C.
Howard T. Markey
Howard T. Markey was a prominent American jurist best known as the first chief judge of the United States Court of Appeals for the Federal Circuit and a leading figure in modern patent law.
-
D.
Stilson Hutchins
Stilson Hutchins was an American newspaper publisher best known as the founder of The Washington Post.
-
E.
John Lounsbery
John Lounsbery was an American animator and one of Disney’s famed "Nine Old Men," known for his influential work on many classic Disney animated films.
- 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_69c68861678881909961ddf4d779f750 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e26a130c81908bdad15f5c4ae15d |
completed | March 27, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c788a303148190869be2a455d28791 |
completed | March 28, 2026, 7:52 a.m. |
Created at: March 27, 2026, 2:38 p.m.