Triple

T26543502
Position Surface form Disambiguated ID Type / Status
Subject Houston family E671453 entity
Predicate mediaPortrayalFocus P42645 FINISHED
Object Whitney Houston’s legacy 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: Whitney Houston’s legacy | Statement: [Houston family, mediaPortrayalFocus, Whitney Houston’s legacy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mediaPortrayalFocus
Context triple: [Houston family, mediaPortrayalFocus, Whitney Houston’s legacy]
  • A. mediaDepictionAs
    Indicates that one entity is portrayed or represented as another entity or in a particular way within some medium (e.g., image, film, text).
  • B. media depiction
    Indicates that one entity visually or narratively represents, portrays, or illustrates another entity in some form of media.
  • C. mediaFraming
    Indicates how media content presents, structures, and emphasizes aspects of an issue or event in ways that shape interpretation and understanding.
  • 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. mediaFocus chosen
    Indicates that the primary attention, coverage, or emphasis of a media source is directed toward a particular entity or topic.
  • 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_69eeb3206e748190b90c85cc81f38c91 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f62d53ad58819080c5227c7a729d15 completed May 2, 2026, 4:58 p.m.
PD Predicate disambiguation batch_69f62c15952881908a5ea0c25904afec completed May 2, 2026, 4:53 p.m.
Created at: April 27, 2026, 1:43 a.m.