Triple

T2412998
Position Surface form Disambiguated ID Type / Status
Subject Snapchat E52237 entity
Predicate formerName P65 FINISHED
Object Picaboo
Picaboo was the original name of the multimedia messaging app that later became Snapchat.
 E264022 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: Picaboo | Statement: [Snapchat, formerName, Picaboo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Picaboo
Context triple: [Snapchat, formerName, Picaboo]
  • A. Picnic House
    Picnic House is a historic brick event and community gathering venue located within Brooklyn’s Prospect Park.
  • B. Pantopia
    Pantopia is a themed area within Busch Gardens Tampa Bay featuring colorful architecture, rides, shops, and entertainment.
  • C. The Peg
    The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
  • D. Wigwam
    A wigwam is a domed, bark-covered dwelling traditionally built and used by various Indigenous peoples of the Northeastern Woodlands of North America.
  • E. Kiddyland
    Kiddyland is a children’s amusement area within Playland Park featuring kid-friendly rides and attractions.
  • 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: Picaboo
Triple: [Snapchat, formerName, Picaboo]
Generated description
Picaboo was the original name of the multimedia messaging app that later became Snapchat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Picaboo
Target entity description: Picaboo was the original name of the multimedia messaging app that later became Snapchat.
  • A. Picnic House
    Picnic House is a historic brick event and community gathering venue located within Brooklyn’s Prospect Park.
  • B. Pantopia
    Pantopia is a themed area within Busch Gardens Tampa Bay featuring colorful architecture, rides, shops, and entertainment.
  • C. The Peg
    The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
  • D. Wigwam
    A wigwam is a domed, bark-covered dwelling traditionally built and used by various Indigenous peoples of the Northeastern Woodlands of North America.
  • E. Kiddyland
    Kiddyland is a children’s amusement area within Playland Park featuring kid-friendly rides and attractions.
  • 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_69ab495622948190bc6bc6e4cddaf645 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc92a4e1c8190819fa676295ac145 completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3f00cc481909c2841a6f2ebadad completed March 9, 2026, 11:50 a.m.
NEDg Description generation batch_69aeb630b9588190a09652e9a3e65731 completed March 9, 2026, 11:59 a.m.
NED2 Entity disambiguation (via description) batch_69aeb68465608190b40e8be870b54ffb completed March 9, 2026, 12:01 p.m.
Created at: March 6, 2026, 9:41 p.m.