Triple

T10748291
Position Surface form Disambiguated ID Type / Status
Subject Ron Burkle E253507 entity
Predicate boardMemberOf P10 FINISHED
Object Yahoo! (past) E366609 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: Yahoo! (past) | Statement: [Ron Burkle, boardMemberOf, Yahoo! (past)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yahoo! (past)
Context triple: [Ron Burkle, boardMemberOf, Yahoo! (past)]
  • A. Yahoo chosen
    Yahoo is a pioneering web services company best known for its web portal, search engine, email service, and online media offerings.
  • B. Yahoo Inc. (post-Verizon media reorganization)
    Yahoo Inc. (post-Verizon media reorganization) is the digital media and online services company formed under Verizon’s ownership that consolidated the former Yahoo and AOL internet brands into a single corporate entity.
  • C. Yahoo! BB
    Yahoo! BB was a Japanese broadband internet and VoIP service brand operated by SoftBank, widely known for helping popularize high-speed internet access in Japan in the early 2000s.
  • D. AOL
    AOL is a pioneering American internet and online services company best known for popularizing dial-up access and email in the 1990s and early 2000s.
  • E. Yahoo! Screen
    Yahoo! Screen was Yahoo's now-defunct online video streaming platform that hosted original series, licensed shows, and other digital video content.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d711b9242c81908dbf3fa155159b3c completed April 9, 2026, 2:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69de231af7388190b73347a3ffc1077a completed April 14, 2026, 11:20 a.m.
Created at: April 8, 2026, 9:15 p.m.