Triple
T19223673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Moritz |
E480681
|
entity |
| Predicate | investedIn |
P17330
|
FINISHED |
| Object | Yahoo! |
—
|
NE NERFINISHED |
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: [Michael Moritz, investedIn, Yahoo!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yahoo! Context triple: [Michael Moritz, investedIn, 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 (2 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa95743481909314fd14e2c3d189 |
completed | April 20, 2026, 10:06 a.m. |
Created at: April 10, 2026, 1:24 p.m.