Triple

T10380958
Position Surface form Disambiguated ID Type / Status
Subject Arseny Tarkovsky E244638 entity
Predicate notableWork P4 FINISHED
Object Messenger
"Messenger" is a notable poetic work by Russian poet and translator Arseny Tarkovsky, reflecting his characteristically profound and introspective style.
 E859571 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: [Arseny Tarkovsky, notableWork, Messenger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Messenger
Context triple: [Arseny Tarkovsky, notableWork, 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. Messenger
    Messenger is Symfony’s message bus and asynchronous processing component that enables handling commands, events, and queued messages in a decoupled way.
  • C. Messenger
    Messenger was a prominent American Standardbred racehorse celebrated for his significant influence on the development of the modern harness racing breed.
  • D. Mail
    Mail is a Flask extension class that provides a simple interface for sending email messages from Flask web applications.
  • E. Mail
    Mail is Apple’s built-in email client application for macOS, used to send, receive, and manage email accounts.
  • 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: [Arseny Tarkovsky, notableWork, Messenger]
Generated description
"Messenger" is a notable poetic work by Russian poet and translator Arseny Tarkovsky, reflecting his characteristically profound and introspective style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Messenger
Target entity description: "Messenger" is a notable poetic work by Russian poet and translator Arseny Tarkovsky, reflecting his characteristically profound and introspective style.
  • 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. Messenger
    Messenger was a prominent American Standardbred racehorse celebrated for his significant influence on the development of the modern harness racing breed.
  • D. Mail
    Mail is a Flask extension class that provides a simple interface for sending email messages from Flask web applications.
  • E. Mail
    Mail is Apple’s built-in email client application for macOS, used to send, receive, and manage email accounts.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9921fa48190a874aa9a9e385b97 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d79592512c8190b999191f16e3133c completed April 9, 2026, 12:03 p.m.
NEDg Description generation batch_69d7982916b48190a50893a79ac522e9 completed April 9, 2026, 12:14 p.m.
NED2 Entity disambiguation (via description) batch_69d7991e01d88190bc460d984b796d64 completed April 9, 2026, 12:18 p.m.
Created at: April 6, 2026, 12:03 p.m.