Triple

T3167953
Position Surface form Disambiguated ID Type / Status
Subject Yahoo News E66256 entity
Predicate parentOrganization P254 FINISHED
Object Oath Inc. E22481 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: Oath Inc. | Statement: [Yahoo News, parentOrganization, Oath Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oath Inc.
Context triple: [Yahoo News, parentOrganization, Oath Inc.]
  • A. Oath Inc. chosen
    Oath Inc. was a Verizon-owned digital media and advertising company formed from the merger of AOL and Yahoo.
  • B. Hercules Inc.
    Hercules Inc. was a major American chemical manufacturing company known for producing a wide range of industrial and military chemicals, including controversial defoliants used during the Vietnam War.
  • C. Mirage Enterprises
    Mirage Enterprises is a film production company best known for producing acclaimed movies such as the Academy Award–winning drama "Out of Africa."
  • D. Omrania and Associates
    Omrania and Associates is a Saudi-based architectural and engineering firm known for designing prominent modern landmarks and large-scale urban projects in the Middle East.
  • E. The Wolper Organization
    The Wolper Organization is a film and television production company best known for producing acclaimed movies and series, including the neo-noir crime film "L.A. Confidential."
  • 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_69ad8585d7988190af37365331093ccd completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6457acc8190b2b9acbd1cfcdb91 completed March 8, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b552b488190938ed9fe4d046b01 completed March 12, 2026, 5:12 a.m.
Created at: March 8, 2026, 3:06 p.m.