Triple

T4062464
Position Surface form Disambiguated ID Type / Status
Subject News International phone hacking scandal E86243 entity
Predicate mediaOutlet P833 FINISHED
Object The Sun E65839 NE 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: The Sun | Statement: [News International phone hacking scandal, mediaOutlet, The Sun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Sun
Context triple: [News International phone hacking scandal, mediaOutlet, The Sun]
  • A. The Sun chosen
    The Sun is a British tabloid newspaper known for its sensationalist journalism, celebrity gossip, and large circulation.
  • B. The Sun
    The Sun is a vibrant, monumental painting by Norwegian artist Edvard Munch that depicts a radiant, dominating sun over a coastal landscape, symbolizing life, energy, and renewal.
  • C. Sun
    The Sun is the massive, luminous star at the center of our solar system that provides the light and heat necessary for life on Earth.
  • D. SUN
    SUN is the National Rail station code for Sunderland railway station in Tyne and Wear, England.
  • E. Surya
    Surya is the Hindu sun god revered as a major solar deity associated with light, power, and vitality.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69aed93c69208190a4efac0efe3cd69b completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbd60cc081908764fcc8206bc1ef completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562ac25848190951431c9c853cc59 completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:38 p.m.