Triple

T5479608
Position Surface form Disambiguated ID Type / Status
Subject SMS E123437 entity
Predicate firstTextMessageContent P64025 FINISHED
Object Merry Christmas 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: Merry Christmas | Statement: [SMS, firstTextMessageContent, Merry Christmas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firstTextMessageContent
Context triple: [SMS, firstTextMessageContent, Merry Christmas]
  • A. firstMessageTo
    Indicates that one entity is the initial sender of a message or communication to another entity.
  • B. firstMessageFrom
    Indicates that the related message is the earliest or initial message sent from one entity to another within a given context or conversation.
  • C. firstBlockMessage
    Indicates that this is the initial message sent in the context of a blocking action or block-related interaction between entities.
  • D. intendedMessage
    Indicates that one entity is the message or content that another entity aims or plans to communicate.
  • E. firstVerseText
    Indicates the textual content that appears in the first verse of something, such as a song, poem, or hymn.
  • F. None of above. chosen

Provenance (4 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.
PDg Predicate description generation batch_69bd9214b8488190979112c7615f359a completed March 20, 2026, 6:29 p.m.
Created at: March 20, 2026, 2:09 p.m.