Triple
T20812172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg Sarris |
E512339
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Greg Sarris |
—
|
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: Greg Sarris | Statement: [Greg Sarris, name, Greg Sarris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greg Sarris Context triple: [Greg Sarris, name, Greg Sarris]
-
A.
Greg Sarris
chosen
Greg Sarris is a Native American author, scholar, and longtime tribal leader best known for serving as the chairman of the Federated Indians of Graton Rancheria in California.
-
B.
Jim Speros
Jim Speros is an American sports executive and entrepreneur best known for owning and operating the Baltimore Stallions of the Canadian Football League.
-
C.
David Scearce
David Scearce is a Canadian screenwriter best known for adapting Christopher Isherwood’s novel into the acclaimed film "A Single Man."
-
D.
John Easterling
John Easterling is an American businessman and environmental entrepreneur best known as the husband of singer and actress Olivia Newton-John and as the founder of the Amazon Herb Company.
-
E.
George Keister
George Keister was an American architect best known for designing prominent early 20th-century theaters and commercial buildings in New York City.
- 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2d338ac819096d4a33de831609e |
completed | April 21, 2026, 12:20 a.m. |
Created at: April 16, 2026, 12:40 p.m.