Triple

T5230046
Position Surface form Disambiguated ID Type / Status
Subject Classic Masters E118086 entity
Predicate includesWork P2011 FINISHED
Object Paper Scratcher
"Paper Scratcher" is a Magic: The Gathering trading card featured in the Classic Masters set.
 E504382 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: Paper Scratcher | Statement: [Classic Masters, includesWork, Paper Scratcher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paper Scratcher
Context triple: [Classic Masters, includesWork, Paper Scratcher]
  • A. Papel
    Papel is an indigenous language of Guinea-Bissau spoken primarily by the Papel people in the coastal regions around Bissau.
  • B. Liquid Paper
    Liquid Paper is a popular correction fluid product used to cover and correct handwritten or typed errors on paper.
  • C. Scribbulus Writing Implements
    Scribbulus Writing Implements is a wizarding stationery shop in the Harry Potter universe that sells items like quills, ink, and parchment to Hogwarts students and other magical folk.
  • D. 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.
  • 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. 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: Paper Scratcher
Triple: [Classic Masters, includesWork, Paper Scratcher]
Generated description
"Paper Scratcher" is a Magic: The Gathering trading card featured in the Classic Masters set.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paper Scratcher
Target entity description: "Paper Scratcher" is a Magic: The Gathering trading card featured in the Classic Masters set.
  • A. Papel
    Papel is an indigenous language of Guinea-Bissau spoken primarily by the Papel people in the coastal regions around Bissau.
  • B. Liquid Paper
    Liquid Paper is a popular correction fluid product used to cover and correct handwritten or typed errors on paper.
  • C. Scribbulus Writing Implements
    Scribbulus Writing Implements is a wizarding stationery shop in the Harry Potter universe that sells items like quills, ink, and parchment to Hogwarts students and other magical folk.
  • D. 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.
  • 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. 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_69bd4466fb8c819083b806a79414d7e4 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7ae006ec8190abd23f650ca5bf53 completed March 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef810d6108190b2b2067cce12955b completed March 21, 2026, 7:57 p.m.
NEDg Description generation batch_69bef8acecf48190a1d3f56640bf7784 completed March 21, 2026, 7:59 p.m.
NED2 Entity disambiguation (via description) batch_69bef92017948190906d1be3551b54c2 completed March 21, 2026, 8:01 p.m.
Created at: March 20, 2026, 1:48 p.m.