Triple

T4554917
Position Surface form Disambiguated ID Type / Status
Subject Verizon Media E120457 entity
Predicate ownedBrand P1500 FINISHED
Object HuffPost E10978 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: HuffPost | Statement: [Verizon Media, ownedBrand, HuffPost]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HuffPost
Context triple: [Verizon Media, ownedBrand, HuffPost]
  • A. HuffPost chosen
    HuffPost is a digital news and opinion website known for its extensive blogging platform, progressive political coverage, and aggregation of news from various sources.
  • B. Vox Media
    Vox Media is a prominent American digital media company known for operating a portfolio of editorial brands and websites covering news, technology, culture, sports, and lifestyle.
  • C. Gawker Media
    Gawker Media was a now-defunct American online media company known for its network of influential blogs covering gossip, technology, feminism, and pop culture.
  • D. USA Today
    USA Today is a widely circulated American daily newspaper known for its concise reporting, colorful design, and national focus.
  • E. Vox
    Vox is a Spanish right-wing to far-right political party known for its nationalist, socially conservative, and anti-separatist positions.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd5813af948190b10b02dadf6496bf completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc575e3388190ac95b9e0537fb701 completed March 20, 2026, 10:08 p.m.
Created at: March 20, 2026, 1:09 p.m.