Triple

T4555381
Position Surface form Disambiguated ID Type / Status
Subject Symfony E120465 entity
Predicate hasComponent P35 FINISHED
Object Messenger
Messenger is Symfony’s message bus and asynchronous processing component that enables handling commands, events, and queued messages in a decoupled way.
 E452817 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: Messenger | Statement: [Symfony, hasComponent, Messenger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Messenger
Context triple: [Symfony, hasComponent, Messenger]
  • A. Messenger
    Messenger is Meta's cross-platform messaging application that enables users to send text, voice, and video communications across mobile and web.
  • B. Mail
    Mail is a Flask extension class that provides a simple interface for sending email messages from Flask web applications.
  • C. Mail
    Mail is Apple’s built-in email client application for macOS, used to send, receive, and manage email accounts.
  • D. Messages
    Messages is Apple’s built-in messaging app for iOS, iPadOS, and macOS that supports SMS, MMS, and iMessage communication across Apple devices.
  • E. Media Mail
    Media Mail is a discounted U.S. Postal Service shipping option specifically for sending educational materials and media such as books, sound recordings, and DVDs.
  • 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: Messenger
Triple: [Symfony, hasComponent, Messenger]
Generated description
Messenger is Symfony’s message bus and asynchronous processing component that enables handling commands, events, and queued messages in a decoupled way.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Messenger
Target entity description: Messenger is Symfony’s message bus and asynchronous processing component that enables handling commands, events, and queued messages in a decoupled way.
  • A. Messenger
    Messenger is Meta's cross-platform messaging application that enables users to send text, voice, and video communications across mobile and web.
  • B. Mail
    Mail is a Flask extension class that provides a simple interface for sending email messages from Flask web applications.
  • C. Mail
    Mail is Apple’s built-in email client application for macOS, used to send, receive, and manage email accounts.
  • D. Messages
    Messages is Apple’s built-in messaging app for iOS, iPadOS, and macOS that supports SMS, MMS, and iMessage communication across Apple devices.
  • E. Media Mail
    Media Mail is a discounted U.S. Postal Service shipping option specifically for sending educational materials and media such as books, sound recordings, and DVDs.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd5813af948190b10b02dadf6496bf completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc57d59f88190857cbda79caf3c38 completed March 20, 2026, 10:09 p.m.
NEDg Description generation batch_69bdc8a14ca88190b4104c113e150edd completed March 20, 2026, 10:22 p.m.
NED2 Entity disambiguation (via description) batch_69bdc95f7064819081c69df00a869c31 completed March 20, 2026, 10:25 p.m.
Created at: March 20, 2026, 1:09 p.m.