Triple
T7536354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Pogue |
E178160
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Yahoo Tech |
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 Tech | Statement: [David Pogue, employer, Yahoo Tech]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yahoo Tech Context triple: [David Pogue, employer, Yahoo Tech]
-
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.
Google
Google is a multinational technology company best known for its search engine and wide range of internet-related products and services, including Android, YouTube, and cloud computing.
-
C.
Yahoo mobile apps
Yahoo mobile apps are a suite of smartphone and tablet applications that provide access to Yahoo’s services such as news, email, finance, sports, and search in a mobile-optimized experience.
-
D.
Yahoo! Screen
Yahoo! Screen was Yahoo's now-defunct online video streaming platform that hosted original series, licensed shows, and other digital video content.
-
E.
Engadget
Engadget is a technology news and reviews website that covers consumer electronics, gadgets, and digital culture.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f84db0c48190b2b3d8c5f802f713 |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f0c02148190bb5f63cf9891ec0c |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:48 p.m.