Triple

T15038940
Position Surface form Disambiguated ID Type / Status
Subject Blue’s Clues E378549 entity
Predicate featuresCharacter P626 FINISHED
Object Mailbox
Mailbox is a cheerful, talking mailbox character from the children's television series "Blue’s Clues" who delivers letters and helps advance the show's interactive clues and stories.
 E1133214 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: Mailbox | Statement: [Blue’s Clues, featuresCharacter, Mailbox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mailbox
Context triple: [Blue’s Clues, featuresCharacter, Mailbox]
  • A. Mailbox
    Mailbox was a popular mobile email management app known for its innovative swipe-based interface and focus on inbox organization, later acquired by Dropbox.
  • B. Mail
    Mail is Apple’s built-in email client application for macOS, used to send, receive, and manage email accounts.
  • C. Mail
    Mail is a Flask extension class that provides a simple interface for sending email messages from Flask web applications.
  • D. MAIL
    MAIL is the stock ticker symbol for Mail.ru Group, a major Russian internet and online services company.
  • E. The Mailbox
    The Mailbox is a prominent mixed-use complex in Birmingham featuring luxury shopping, dining, offices, and hotels along the city’s canalside.
  • 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: Mailbox
Triple: [Blue’s Clues, featuresCharacter, Mailbox]
Generated description
Mailbox is a cheerful, talking mailbox character from the children's television series "Blue’s Clues" who delivers letters and helps advance the show's interactive clues and stories.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mailbox
Target entity description: Mailbox is a cheerful, talking mailbox character from the children's television series "Blue’s Clues" who delivers letters and helps advance the show's interactive clues and stories.
  • A. Mailbox
    Mailbox was a popular mobile email management app known for its innovative swipe-based interface and focus on inbox organization, later acquired by Dropbox.
  • B. Mail
    Mail is Apple’s built-in email client application for macOS, used to send, receive, and manage email accounts.
  • C. Mail
    Mail is a Flask extension class that provides a simple interface for sending email messages from Flask web applications.
  • D. MAIL
    MAIL is the stock ticker symbol for Mail.ru Group, a major Russian internet and online services company.
  • E. The Mailbox
    The Mailbox is a prominent mixed-use complex in Birmingham featuring luxury shopping, dining, offices, and hotels along the city’s canalside.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82cf3848190b0b2b6c9e65bc70b completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9de1c3a48190a9b3959a95627175 completed May 9, 2026, 2:37 a.m.
NEDg Description generation batch_69fe9fdba3c48190b1d370f7c066801f completed May 9, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69fea0b87db881909607bcf0df5b0979 completed May 9, 2026, 2:49 a.m.
Created at: April 10, 2026, 2:59 a.m.