Triple

T1478403
Position Surface form Disambiguated ID Type / Status
Subject Silicon Forest E30894 entity
Predicate majorCompanyPresent P17483 FINISHED
Object InFocus
InFocus is an American company best known for designing and manufacturing digital projectors and other display technologies.
 E168948 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: InFocus | Statement: [Silicon Forest, majorCompanyPresent, InFocus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: InFocus
Context triple: [Silicon Forest, majorCompanyPresent, InFocus]
  • A. Phocus
    Phocus is a minor figure in Greek mythology known primarily as a descendant of the Corinthian royal line.
  • B. Optica
    Optica is a leading scientific society dedicated to advancing the study and application of optics and photonics worldwide.
  • C. Periscope
    Periscope was a live video streaming mobile app that allowed users to broadcast and watch real-time video from around the world.
  • D. Ionview
    Ionview is a residential neighbourhood in the Scarborough district of Toronto, Ontario, known for its mix of apartment buildings, single-family homes, and access to public transit.
  • E. Opti
    Opti is a friendly, futuristic robot character that served as one of the official mascots of Expo 2020 Dubai.
  • 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: InFocus
Triple: [Silicon Forest, majorCompanyPresent, InFocus]
Generated description
InFocus is an American company best known for designing and manufacturing digital projectors and other display technologies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: InFocus
Target entity description: InFocus is an American company best known for designing and manufacturing digital projectors and other display technologies.
  • A. Phocus
    Phocus is a minor figure in Greek mythology known primarily as a descendant of the Corinthian royal line.
  • B. Optica
    Optica is a leading scientific society dedicated to advancing the study and application of optics and photonics worldwide.
  • C. Periscope
    Periscope was a live video streaming mobile app that allowed users to broadcast and watch real-time video from around the world.
  • D. Ionview
    Ionview is a residential neighbourhood in the Scarborough district of Toronto, Ontario, known for its mix of apartment buildings, single-family homes, and access to public transit.
  • E. Opti
    Opti is a friendly, futuristic robot character that served as one of the official mascots of Expo 2020 Dubai.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c9e02c188190b87c0aac939eafdd completed March 1, 2026, 11:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad15aff1288190a3e36324d975d482 completed March 8, 2026, 6:22 a.m.
NEDg Description generation batch_69ad1639e21081908737b51e910ceae3 completed March 8, 2026, 6:24 a.m.
NED2 Entity disambiguation (via description) batch_69ad16a98fd08190a14f4d7d6b11f5e8 completed March 8, 2026, 6:26 a.m.
Created at: March 1, 2026, 8:11 p.m.