Triple

T19803203
Position Surface form Disambiguated ID Type / Status
Subject Chloe Sullivan E475738 entity
Predicate worksFor P5820 FINISHED
Object Daily Planet NE NERFINISHED

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: Daily Planet | Statement: [Chloe Sullivan, worksFor, Daily Planet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daily Planet
Context triple: [Chloe Sullivan, worksFor, Daily Planet]
  • A. Daily Planet chosen
    The Daily Planet is the iconic Metropolis newspaper in the DC Comics universe, best known as the workplace of Superman’s alter ego Clark Kent and reporter Lois Lane.
  • B. Daily Bugle newsroom
    The Daily Bugle newsroom is a fictional New York City tabloid office in the Spider-Man universe, known as Peter Parker’s workplace and a central hub for news coverage of the web-slinging hero.
  • C. The Daily
    The Daily is Statistics Canada’s official online publication that provides timely statistical news, analysis, and key data releases about Canada’s economy, society, and environment.
  • D. Daily Star
    The Daily Star is a British tabloid newspaper known for its sensationalist coverage of celebrity news, entertainment, and popular culture.
  • E. The Daily Citizen
    The Daily Citizen is a local newspaper serving the community of Searcy, Arkansas with regional news and information.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654266e18819085698aed8b0e2ba8 completed April 20, 2026, 4:28 p.m.
Created at: April 10, 2026, 1:49 p.m.