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.