Triple

T6107435
Position Surface form Disambiguated ID Type / Status
Subject Shavkat Rakhmonov E136149 entity
Predicate mediaFraming P68191 FINISHED
Object future title challenger 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: future title challenger | Statement: [Shavkat Rakhmonov, mediaFraming, future title challenger]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mediaFraming
Context triple: [Shavkat Rakhmonov, mediaFraming, future title challenger]
  • A. mediaUse
    Indicates that an entity makes use of, consumes, or engages with a particular medium or media resource.
  • B. mediaFocus
    Indicates that the primary attention, coverage, or emphasis of a media source is directed toward a particular entity or topic.
  • C. mediaMoment
    Indicates a specific point or segment within a media item (such as a video, audio, or broadcast) where a notable event or action occurs.
  • D. mediaExposure
    Indicates the extent to which an entity is subjected to or receives attention from media channels such as television, radio, print, or online platforms.
  • E. mediaCovered
    Indicates that one entity (such as a media outlet or source) has reported on, featured, or otherwise provided coverage of another entity or event.
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b81fad081909b622cafc6d51249 completed March 22, 2026, 9:13 p.m.
PD Predicate disambiguation batch_69c049f80e2081909b7d84a104cda68d completed March 22, 2026, 7:58 p.m.
PDg Predicate description generation batch_69c04e8e3f2c8190be459ca02f9b315a completed March 22, 2026, 8:18 p.m.
Created at: March 22, 2026, 4:13 p.m.