Triple

T5479609
Position Surface form Disambiguated ID Type / Status
Subject SMS E123437 entity
Predicate firstTextMessageSentFrom P3271 FINISHED
Object personal computer LITERAL FINISHED

How this triple was built (2 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: personal computer | Statement: [SMS, firstTextMessageSentFrom, personal computer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firstTextMessageSentFrom
Context triple: [SMS, firstTextMessageSentFrom, personal computer]
  • A. firstMessageFrom chosen
    Indicates that the related message is the earliest or initial message sent from one entity to another within a given context or conversation.
  • B. firstMessageTo
    Indicates that one entity is the initial sender of a message or communication to another entity.
  • C. sentSignalFrom
    Indicates that one entity transmitted or emitted a signal originating from a specified source entity.
  • D. firstBroadcastBy
    Indicates that one entity is the original broadcaster or channel that first aired the other entity (such as a program, event, or content).
  • E. firstBlockMessage
    Indicates that this is the initial message sent in the context of a blocking action or block-related interaction between entities.
  • F. None of above.

Provenance (3 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_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9248ca348190aa116cace0f9b07a completed March 20, 2026, 6:30 p.m.
PD Predicate disambiguation batch_69bd91a58c448190904964a439045e05 completed March 20, 2026, 6:27 p.m.
Created at: March 20, 2026, 2:09 p.m.