Triple
T22152766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Captain Daniel Gregg |
E547453
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | R. A. Dick |
—
|
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: R. A. Dick | Statement: [Captain Daniel Gregg, creator, R. A. Dick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: R. A. Dick Context triple: [Captain Daniel Gregg, creator, R. A. Dick]
-
A.
R. A. Dick
chosen
R. A. Dick was the pseudonym of Irish-British writer Josephine Leslie, best known for her 1945 romantic fantasy novel "The Ghost and Mrs. Muir."
-
B.
R. T. Buell
R. T. Buell was a prominent local figure and landowner in California whose influence led to the city of Buellton being named in his honor.
-
C.
R. R. Grovey
R. R. Grovey was the African American plaintiff in the landmark U.S. Supreme Court case Grovey v. Townsend, which challenged racially discriminatory primary election practices in Texas.
-
D.
R.C. Slocum
R.C. Slocum is a longtime American college football coach best known for leading Texas A&M to sustained success and multiple conference titles in the late 20th century.
-
E.
K.R. Dwyer
K.R. Dwyer is a pseudonym used by American suspense and horror novelist Dean Koontz for some of his early thriller works.
- 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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f5a740819093628386732b91a6 |
completed | April 28, 2026, 9:43 p.m. |
Created at: April 16, 2026, 8:33 p.m.