Triple

T12668508
Position Surface form Disambiguated ID Type / Status
Subject Meghan McCain E302617 entity
Predicate employer P7 FINISHED
Object The Daily Beast E455756 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 Daily Beast | Statement: [Meghan McCain, employer, The Daily Beast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Daily Beast
Context triple: [Meghan McCain, employer, The Daily Beast]
  • A. The Daily Beast chosen
    The Daily Beast is an American news and opinion website known for its sharp political commentary, investigative reporting, and pop culture coverage.
  • B. The Daily Caller
    The Daily Caller is a conservative American news and opinion website known for its right-leaning political coverage and commentary.
  • C. Huffington
    Huffington is the surname of Arianna Huffington, the Greek-American author, media entrepreneur, and co-founder of The Huffington Post.
  • D. The New York Observer
    The New York Observer is a New York City–based weekly newspaper and online publication known for its coverage of local politics, media, culture, and real estate.
  • E. New York Post
    The New York Post is a long-running New York City–based daily tabloid newspaper known for its sensational headlines, conservative editorial stance, and focus on celebrity, crime, and political news.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96181c40481908f3e2717f5472b85 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688bfc048190970d281e66c34cdc completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:20 p.m.