Triple

T15688581
Position Surface form Disambiguated ID Type / Status
Subject Logo E380264 entity
Predicate typicalCommand P11280 FINISHED
Object PENUP
PENUP is a digital drawing and coloring app and social platform by Samsung that lets users create, share, and discover artwork on their devices.
 E1171573 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: PENUP | Statement: [Logo, typicalCommand, PENUP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PENUP
Context triple: [Logo, typicalCommand, PENUP]
  • A. PEN
    PEN is an international writers’ organization dedicated to promoting literature and defending freedom of expression worldwide.
  • B. PEN
    PEN is the National Rail station code for Penarth railway station in the Vale of Glamorgan, Wales.
  • C. PEN
    PEN is the Peruvian sol, the official national currency of Peru.
  • D. PEN
    PEN is the three-letter IATA airport code for Penang International Airport in Malaysia.
  • E. Penge
    Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
  • 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: PENUP
Triple: [Logo, typicalCommand, PENUP]
Generated description
PENUP is a digital drawing and coloring app and social platform by Samsung that lets users create, share, and discover artwork on their devices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PENUP
Target entity description: PENUP is a digital drawing and coloring app and social platform by Samsung that lets users create, share, and discover artwork on their devices.
  • A. PEN
    PEN is an international writers’ organization dedicated to promoting literature and defending freedom of expression worldwide.
  • B. PEN
    PEN is the National Rail station code for Penarth railway station in the Vale of Glamorgan, Wales.
  • C. PEN
    PEN is the Peruvian sol, the official national currency of Peru.
  • D. PEN
    PEN is the three-letter IATA airport code for Penang International Airport in Malaysia.
  • E. Penge
    Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f4cee5481908699fbb2b7bdd2f6 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ee91340819086c8f51e8eb477aa completed May 9, 2026, 5:29 p.m.
NEDg Description generation batch_69ff6fd9c968819098b2552a9deb0445 completed May 9, 2026, 5:33 p.m.
NED2 Entity disambiguation (via description) batch_69ff708d42448190a53b90e00721eaa5 completed May 9, 2026, 5:36 p.m.
Created at: April 10, 2026, 4:44 a.m.