Triple

T13019975
Position Surface form Disambiguated ID Type / Status
Subject TApplication E322646 entity
Predicate hasMethod P859 FINISHED
Object MessageBox
MessageBox is a method used to display dialog boxes that present information or prompts to the user and optionally collect simple responses.
 E697574 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: MessageBox | Statement: [TApplication, hasMethod, MessageBox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MessageBox
Context triple: [TApplication, hasMethod, MessageBox]
  • A. MatDialog
    MatDialog is an Angular Material service and UI component used to open and manage modal dialog windows in Angular applications.
  • B. Mensagem
    Mensagem is a seminal poetry collection by Portuguese writer Fernando Pessoa that reflects on Portugal’s history, identity, and mythic destiny.
  • C. MSG
    MSG is a subregional political and economic organization that promotes cooperation and solidarity among Melanesian countries and territories in the Pacific.
  • D. MSG
    MSG refers to U.S. Marine Security Guards, specialized Marine Corps personnel assigned to protect American embassies, consulates, and other diplomatic facilities worldwide.
  • E. MSG
    MSG is a famous multi-purpose indoor arena in New York City known for hosting major sports events, concerts, and entertainment spectacles.
  • 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: MessageBox
Triple: [TApplication, hasMethod, MessageBox]
Generated description
MessageBox is a method used to display dialog boxes that present information or prompts to the user and optionally collect simple responses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MessageBox
Target entity description: MessageBox is a method used to display dialog boxes that present information or prompts to the user and optionally collect simple responses.
  • A. MatDialog chosen
    MatDialog is an Angular Material service and UI component used to open and manage modal dialog windows in Angular applications.
  • B. Mensagem
    Mensagem is a seminal poetry collection by Portuguese writer Fernando Pessoa that reflects on Portugal’s history, identity, and mythic destiny.
  • C. MSG
    MSG is a famous multi-purpose indoor arena in New York City known for hosting major sports events, concerts, and entertainment spectacles.
  • D. MSG
    MSG is a subregional political and economic organization that promotes cooperation and solidarity among Melanesian countries and territories in the Pacific.
  • E. MSG
    MSG refers to U.S. Marine Security Guards, specialized Marine Corps personnel assigned to protect American embassies, consulates, and other diplomatic facilities worldwide.
  • F. None of above.

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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ecf21bc819082fb512bc479b4be completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c116423881908d0de1e04904fbc3 completed May 3, 2026, 3:29 a.m.
NEDg Description generation batch_69f6c20aff008190a1a10ac02ed08726 completed May 3, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f6c2de143c81908164f5df2b92e5c3 completed May 3, 2026, 3:37 a.m.
Created at: April 9, 2026, 8:51 p.m.