Triple
T16206299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanford |
E393335
|
entity |
| Predicate | brandPortfolioIncludes |
P18121
|
FINISHED |
| Object | Rotring |
E88641
|
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: Rotring | Statement: [Sanford, brandPortfolioIncludes, Rotring]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rotring Context triple: [Sanford, brandPortfolioIncludes, Rotring]
-
A.
Rotring
chosen
Rotring is a German brand renowned for its high-precision technical drawing instruments and writing tools, including mechanical pencils and technical pens.
-
B.
Lamy
Lamy is a French surname most prominently associated with Pascal Lamy, a former Director-General of the World Trade Organization.
-
C.
Montblanc
Montblanc is a luxury German brand renowned for its high-end writing instruments, watches, leather goods, and smartwatches.
-
D.
Ever-Sharp mechanical pencil
The Ever-Sharp mechanical pencil is an early 20th-century self-feeding pencil that popularized the modern mechanical pencil design and helped launch Tokuji Hayakawa’s manufacturing career.
-
E.
Esbo stift
Esbo stift is the Swedish name for the Diocese of Espoo, a regional administrative unit of the Evangelical Lutheran Church of Finland.
- 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.