Triple
T18973708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Private Robert E. Lee Prewitt |
E464237
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Prewitt |
—
|
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: Prewitt | Statement: [Private Robert E. Lee Prewitt, familyName, Prewitt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prewitt Context triple: [Private Robert E. Lee Prewitt, familyName, Prewitt]
-
A.
Prewitt
chosen
Prewitt is a surname of English origin borne by various notable individuals across fields such as academia, politics, and the arts.
-
B.
Sobel
Sobel is a surname most notably associated with American science writer Dava Sobel, known for her popular books on the history of science and astronomy.
-
C.
Harris corner detector
The Harris corner detector is a foundational computer vision algorithm used to identify interest points or corners in images for tasks like tracking, matching, and 3D reconstruction.
-
D.
Gabor filter
A Gabor filter is a linear filter used in image processing and computer vision that analyzes spatial frequency content in specific directions and scales, making it useful for texture analysis and feature extraction.
-
E.
Shi–Tomasi corner detector
The Shi–Tomasi corner detector is a computer vision algorithm that identifies good feature points (corners) in images for robust tracking and recognition tasks.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d61d7728819096f0baea75658a6a |
completed | April 20, 2026, 7:30 a.m. |
Created at: April 10, 2026, noon