Triple

T10907270
Position Surface form Disambiguated ID Type / Status
Subject Jeff Winger E257603 entity
Predicate appearsOnNetwork P833 FINISHED
Object Yahoo! Screen E257602 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! Screen | Statement: [Jeff Winger, appearsOnNetwork, Yahoo! Screen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yahoo! Screen
Context triple: [Jeff Winger, appearsOnNetwork, Yahoo! Screen]
  • A. Yahoo! Screen chosen
    Yahoo! Screen was Yahoo's now-defunct online video streaming platform that hosted original series, licensed shows, and other digital video content.
  • B. Yahoo
    Yahoo is a pioneering web services company best known for its web portal, search engine, email service, and online media offerings.
  • C. Yahoo homepage
    The Yahoo homepage is a popular web portal that aggregates news, email access, search, finance, sports, and other personalized content in a single starting point for users.
  • D. 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.
  • E. Yahoo! Search
    Yahoo! Search is a web search engine developed by Yahoo that was once one of the most popular gateways for finding information on the internet.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7706756d081908ed29c68d81df688 completed April 9, 2026, 9:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69e155454890819087028a72ac2be8de completed April 16, 2026, 9:31 p.m.
Created at: April 8, 2026, 9:22 p.m.