Triple

T16999014
Position Surface form Disambiguated ID Type / Status
Subject Liquid Paper E412389 entity
Predicate competesWith P1375 FINISHED
Object Wite-Out
Wite-Out is a popular brand of correction fluid and tape used to cover and correct mistakes on written or printed documents.
 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: Wite-Out | Statement: [Liquid Paper, competesWith, Wite-Out]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wite-Out
Context triple: [Liquid Paper, competesWith, Wite-Out]
  • A. Liquid Paper
    Liquid Paper is a popular correction fluid product used to cover and correct handwritten or typed errors on paper.
  • B. 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.
  • C. Chalk
    Chalk is a British television sitcom that satirizes the chaotic life of teachers and administrators in a dysfunctional secondary school.
  • D. Chalk
    Chalk is a soft, white, porous sedimentary rock composed primarily of calcium carbonate, commonly used for writing on blackboards and as a soil conditioner.
  • E. Chalk
    Chalk is a pale, off-white color option commonly used for consumer electronics and home devices to provide a neutral, minimalist appearance.
  • 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: Wite-Out
Triple: [Liquid Paper, competesWith, Wite-Out]
Generated description
Wite-Out is a popular brand of correction fluid and tape used to cover and correct mistakes on written or printed documents.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wite-Out
Target entity description: Wite-Out is a popular brand of correction fluid and tape used to cover and correct mistakes on written or printed documents.
  • A. Liquid Paper chosen
    Liquid Paper is a popular correction fluid product used to cover and correct handwritten or typed errors on paper.
  • B. 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.
  • C. Chalk
    Chalk is a British television sitcom that satirizes the chaotic life of teachers and administrators in a dysfunctional secondary school.
  • D. Chalk
    Chalk is a soft, white, porous sedimentary rock composed primarily of calcium carbonate, commonly used for writing on blackboards and as a soil conditioner.
  • E. Chalk
    Chalk is a pale, off-white color option commonly used for consumer electronics and home devices to provide a neutral, minimalist appearance.
  • F. None of above.

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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d37cd6248190a7202ae754882640 completed April 18, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc1ac518819093fac61b5598d730 completed May 10, 2026, 7:27 p.m.
NEDg Description generation batch_6a0114d68c8481909111bfab22882bb2 completed May 10, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_6a0118ba68408190b242154c40461f21 completed May 10, 2026, 11:46 p.m.
Created at: April 10, 2026, 5:32 a.m.