Triple
T4116982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paper Mate |
E90315
|
entity |
| Predicate | brandOf |
P1500
|
FINISHED |
| Object |
Liquid Paper
Liquid Paper is a popular correction fluid product used to cover and correct handwritten or typed errors on paper.
|
E412389
|
NE FINISHED |
How this triple was built (4 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: [Paper Mate, brandOf, Liquid Paper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liquid Paper Context triple: [Paper Mate, brandOf, Liquid Paper]
-
A.
Papel
Papel is an indigenous language of Guinea-Bissau spoken primarily by the Papel people in the coastal regions around Bissau.
-
B.
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.
-
C.
The Paper
The Paper is a 1994 American comedy-drama film directed by Ron Howard that follows the hectic, deadline-driven day at a New York City tabloid newspaper.
-
D.
Sharpie
Sharpie is a popular brand of permanent markers and writing instruments known for their bold, quick-drying ink used in homes, schools, and offices.
-
E.
Tintenpalast
Tintenpalast is a historic government building in Windhoek, Namibia, that houses the country’s parliament and is known for its distinctive early 20th-century German colonial architecture.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Liquid Paper Triple: [Paper Mate, brandOf, Liquid Paper]
Generated description
Liquid Paper is a popular correction fluid product used to cover and correct handwritten or typed errors on paper.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liquid Paper Target entity description: Liquid Paper is a popular correction fluid product used to cover and correct handwritten or typed errors on paper.
-
A.
Papel
Papel is an indigenous language of Guinea-Bissau spoken primarily by the Papel people in the coastal regions around Bissau.
-
B.
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.
-
C.
The Paper
The Paper is a 1994 American comedy-drama film directed by Ron Howard that follows the hectic, deadline-driven day at a New York City tabloid newspaper.
-
D.
Sharpie
Sharpie is a popular brand of permanent markers and writing instruments known for their bold, quick-drying ink used in homes, schools, and offices.
-
E.
Tintenpalast
Tintenpalast is a historic government building in Windhoek, Namibia, that houses the country’s parliament and is known for its distinctive early 20th-century German colonial architecture.
- F. None of above. chosen
Provenance (5 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_69aed95c080881908125e30c5dcdc6f8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af01f347f8819080dd250398474d7e |
completed | March 9, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b90054081908a51c366c6fe51d7 |
completed | March 14, 2026, 2:07 p.m. |
| NEDg | Description generation | batch_69b56c0a3b1c81908ae4c630c6881c1c |
completed | March 14, 2026, 2:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b56c94df3481908d2f4a3976fb775b |
completed | March 14, 2026, 2:11 p.m. |
Created at: March 9, 2026, 3:41 p.m.