Triple

T14393413
Position Surface form Disambiguated ID Type / Status
Subject Usama Fayyad E356898 entity
Predicate employer P7 FINISHED
Object Yahoo! 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! | Statement: [Usama Fayyad, employer, Yahoo!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yahoo!
Context triple: [Usama Fayyad, employer, Yahoo!]
  • 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. Lycos
    Lycos is an early web search engine and internet portal that was popular in the 1990s alongside rivals like AltaVista and Yahoo.
  • C. 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.
  • D. 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.
  • E. Goole
    Goole is an inland port town in the East Riding of Yorkshire, England, known for its significant docks and role in regional maritime trade.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de902d114881908a8f3c01b3c6d309 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bc2836c8190a61dfd04127fd255 completed May 8, 2026, 3:42 a.m.
Created at: April 10, 2026, 1:16 a.m.