Triple

T14055102
Position Surface form Disambiguated ID Type / Status
Subject Roy M. Huffington E338196 entity
Predicate familyName P18 FINISHED
Object Huffington E759324 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: Huffington | Statement: [Roy M. Huffington, familyName, Huffington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huffington
Context triple: [Roy M. Huffington, familyName, Huffington]
  • A. Huffington chosen
    Huffington is the surname of Arianna Huffington, the Greek-American author, media entrepreneur, and co-founder of The Huffington Post.
  • B. HuffPost
    HuffPost is a digital news and opinion website known for its extensive blogging platform, progressive political coverage, and aggregation of news from various sources.
  • C. The Daily Beast
    The Daily Beast is an American news and opinion website known for its sharp political commentary, investigative reporting, and pop culture coverage.
  • D. Breitbart News
    Breitbart News is a far-right American news and opinion website known for its provocative, nationalist, and populist political coverage.
  • E. The Daily Caller
    The Daily Caller is a conservative American news and opinion website known for its right-leaning political coverage and commentary.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8d1aa48190a5055d15d9fa220c completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6608cf8819087ed5d890b82650a completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:20 p.m.