Triple
T18131495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Rogers Highway |
E434022
|
entity |
| Predicate | honors |
P2354
|
FINISHED |
| Object | Will Rogers |
—
|
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: Will Rogers | Statement: [Will Rogers Highway, honors, Will Rogers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Rogers Context triple: [Will Rogers Highway, honors, Will Rogers]
-
A.
Will Rogers
chosen
Will Rogers was a famed early 20th-century American humorist, social commentator, and vaudeville and film star known for his folksy wit and political satire.
-
B.
Will Rogers Jr.
Will Rogers Jr. was an American actor, newspaper publisher, and Democratic politician who served in the U.S. House of Representatives during the 1940s.
-
C.
Irvin S. Cobb
Irvin S. Cobb was an American humorist, author, and journalist known for his witty short stories, columns, and contributions to early 20th-century newspapers and magazines.
-
D.
Rand McPherson
Rand McPherson is the protagonist of the comedy film "PCU," a college student navigating the chaos and absurdities of campus life.
-
E.
Jack Otterson
Jack Otterson was an American art director known for his prolific work on Hollywood films in the 1930s and 1940s, often contributing to the visual style of major studio productions.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddf2c68881909dfbe59df15ddccc |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:29 a.m.