Triple

T1108717
Position Surface form Disambiguated ID Type / Status
Subject Reddit E25543 entity
Predicate notableSubreddit P1113 FINISHED
Object r/pics
r/pics is one of Reddit’s largest and most popular image-focused communities, where users share and discuss a wide variety of photographs and visual content.
 E126882 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: r/pics | Statement: [Reddit, notableSubreddit, r/pics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: r/pics
Context triple: [Reddit, notableSubreddit, r/pics]
  • A. Photos
    Photos is Apple's built-in photo management and editing application for macOS that organizes, syncs, and enhances users' image and video libraries.
  • B. Picture Picture
    Picture Picture is a recurring segment on the children's television show "Mister Rogers' Neighborhood" that uses films or videos to show how everyday things are made or work.
  • C. PNG
    PNG is the three-letter ISO 3166-1 alpha-3 country code representing Papua New Guinea.
  • D. Pinterest
    Pinterest is a visual discovery and bookmarking platform where users save and organize images and ideas into themed collections called boards.
  • E. Google Lens
    Google Lens is an image recognition and search tool by Google that uses artificial intelligence to identify objects, text, and scenes from a device’s camera or photos and provide relevant information or actions.
  • 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: r/pics
Triple: [Reddit, notableSubreddit, r/pics]
Generated description
r/pics is one of Reddit’s largest and most popular image-focused communities, where users share and discuss a wide variety of photographs and visual content.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: r/pics
Target entity description: r/pics is one of Reddit’s largest and most popular image-focused communities, where users share and discuss a wide variety of photographs and visual content.
  • A. Photos
    Photos is Apple's built-in photo management and editing application for macOS that organizes, syncs, and enhances users' image and video libraries.
  • B. Picture Picture
    Picture Picture is a recurring segment on the children's television show "Mister Rogers' Neighborhood" that uses films or videos to show how everyday things are made or work.
  • C. PNG
    PNG is the three-letter ISO 3166-1 alpha-3 country code representing Papua New Guinea.
  • D. Pinterest
    Pinterest is a visual discovery and bookmarking platform where users save and organize images and ideas into themed collections called boards.
  • E. Google Lens
    Google Lens is an image recognition and search tool by Google that uses artificial intelligence to identify objects, text, and scenes from a device’s camera or photos and provide relevant information or actions.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bb75eec08190b1d6545e96816d34 completed March 1, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c4f65888190b48c2d220e62a26b completed March 7, 2026, 4:03 p.m.
NEDg Description generation batch_69ac500036f48190bab0bf4e07d5c9ae completed March 7, 2026, 4:19 p.m.
NED2 Entity disambiguation (via description) batch_69ac508ca8e48190bfea6ad9b6920e78 completed March 7, 2026, 4:21 p.m.
Created at: March 1, 2026, 7:43 p.m.