Triple

T7463521
Position Surface form Disambiguated ID Type / Status
Subject Messenger Stakes E176312 entity
Predicate namedAfter P63 FINISHED
Object Messenger
Messenger was a prominent American Standardbred racehorse celebrated for his significant influence on the development of the modern harness racing breed.
 E666385 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: [Messenger Stakes, namedAfter, Messenger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Messenger
Context triple: [Messenger Stakes, namedAfter, Messenger]
  • A. Messenger
    Messenger is Symfony’s message bus and asynchronous processing component that enables handling commands, events, and queued messages in a decoupled way.
  • B. Messenger
    Messenger is Meta's cross-platform messaging application that enables users to send text, voice, and video communications across mobile and web.
  • 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 Apple’s built-in email client application for macOS, used to send, receive, and manage email accounts.
  • E. Messages
    Messages is Apple’s built-in messaging app for iOS, iPadOS, and macOS that supports SMS, MMS, and iMessage communication across Apple devices.
  • 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: [Messenger Stakes, namedAfter, Messenger]
Generated description
Messenger was a prominent American Standardbred racehorse celebrated for his significant influence on the development of the modern harness racing breed.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Messenger
Target entity description: Messenger was a prominent American Standardbred racehorse celebrated for his significant influence on the development of the modern harness racing breed.
  • 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. Messenger
    Messenger is Symfony’s message bus and asynchronous processing component that enables handling commands, events, and queued messages in a decoupled way.
  • 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 Apple’s built-in email client application for macOS, used to send, receive, and manage email accounts.
  • E. Messages
    Messages is Apple’s built-in messaging app for iOS, iPadOS, and macOS that supports SMS, MMS, and iMessage communication across Apple devices.
  • 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_69c69f21632481908bf83f6c6da897e3 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3d9d25c819087efc772b5b127fa completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83464fc48819086f206f4d6b840ab completed March 28, 2026, 8:04 p.m.
NEDg Description generation batch_69c8355f75908190ae3716f9dbff27ef completed March 28, 2026, 8:09 p.m.
NED2 Entity disambiguation (via description) batch_69c83621b32c8190bd4b289b5f9f1764 completed March 28, 2026, 8:12 p.m.
Created at: March 27, 2026, 3:39 p.m.