Triple

T12002476
Position Surface form Disambiguated ID Type / Status
Subject Britta Perry E285698 entity
Predicate seriesNetwork P52460 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: [Britta Perry, seriesNetwork, Yahoo! Screen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yahoo! Screen
Context triple: [Britta Perry, seriesNetwork, 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! Video
    Yahoo! Video was Yahoo's early online video hosting and streaming service that later evolved into the broader Yahoo! Screen platform.
  • E. 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.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c36b248190b446b17def94885b completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48ae4733c81909956cc8d6bae343a completed May 1, 2026, 11:13 a.m.
Created at: April 8, 2026, 9:46 p.m.