Triple
T16206302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanford |
E393335
|
entity |
| Predicate | brandPortfolioIncludes |
P18121
|
FINISHED |
| Object | Mr. Sketch |
E1201293
|
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: Mr. Sketch | Statement: [Sanford, brandPortfolioIncludes, Mr. Sketch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Sketch Context triple: [Sanford, brandPortfolioIncludes, Mr. Sketch]
-
A.
Mr. Sketch
chosen
Mr. Sketch is a brand of scented markers popular in schools and among children for their vivid colors and distinctive fruity smells.
-
B.
Pig-Pen
Pig-Pen is a recurring Peanuts character best known for being perpetually surrounded by a cloud of dust and dirt despite his otherwise good-natured personality.
-
C.
Scribble
Scribble is an Apple Pencil feature on iPadOS that converts handwritten input into typed text in real time across compatible apps.
-
D.
Mr. Man
"Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
-
E.
Johnny Inkslinger
Johnny Inkslinger is a fictional bookkeeper and clerk in the Paul Bunyan tall tales, known for his prodigious record-keeping at Bunyan’s legendary logging camp.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2270f047c819084645da27759a3d2 |
completed | April 17, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ed13b40819096de333872225730 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:03 a.m.