Triple
T16206301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanford |
E393335
|
entity |
| Predicate | brandPortfolioIncludes |
P18121
|
FINISHED |
| Object | Liquid Paper |
E412389
|
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: Liquid Paper | Statement: [Sanford, brandPortfolioIncludes, Liquid Paper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liquid Paper Context triple: [Sanford, brandPortfolioIncludes, Liquid Paper]
-
A.
Liquid Paper
chosen
Liquid Paper is a popular correction fluid product used to cover and correct handwritten or typed errors on paper.
-
B.
Papel
Papel is an indigenous language of Guinea-Bissau spoken primarily by the Papel people in the coastal regions around Bissau.
-
C.
Papper
Papper is one of the islands in the Hvaler archipelago in southeastern Norway, known for its coastal scenery and holiday cottages.
-
D.
Parchment
Parchment is a small city in Kalamazoo County, Michigan, historically known for its paper mill industry and residential community.
-
E.
Paper'd Up
"Paper'd Up" is a track by Snoop Dogg from his 2002 album "Paid tha Cost to Be da Boss," showcasing his West Coast hip-hop style and laid-back flow.
- 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.