Triple

T10031886
Position Surface form Disambiguated ID Type / Status
Subject Margaret Whiting and Johnny Mercer version E204870 entity
Predicate dialogueDynamic P92011 FINISHED
Object playful romantic tension 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: playful romantic tension | Statement: [Margaret Whiting and Johnny Mercer version, dialogueDynamic, playful romantic tension]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dialogueDynamic
Context triple: [Margaret Whiting and Johnny Mercer version, dialogueDynamic, playful romantic tension]
  • A. dialogueWith
    Indicates that two entities are engaged in a mutual conversational exchange or dialogue with each other.
  • B. dialogueType
    Indicates the specific kind or category of dialogue occurring between entities (e.g., question-answer, negotiation, instruction).
  • C. dialogueContext
    Indicates the situational and conversational background in which a dialogue occurs, including prior exchanges and relevant circumstances that shape its interpretation.
  • D. dialogueAction
    Indicates an action performed within a dialogue or conversation between entities, such as speaking, asking, answering, or otherwise verbally interacting.
  • E. dialogueLine
    Indicates that one entity is a specific spoken or written line of dialogue expressed by another entity (such as a character or speaker).
  • 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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdce461d6481908cc8f968856e0337 completed April 2, 2026, 2:02 a.m.
PD Predicate disambiguation batch_69cd4b8638508190b22acc65500ec7d6 completed April 1, 2026, 4:44 p.m.
PDg Predicate description generation batch_69cd4fed19d481909d2c7ff1114664b6 completed April 1, 2026, 5:03 p.m.
Created at: March 30, 2026, 8:54 p.m.