Triple
T18301324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Gross |
E438363
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | GoTo.com |
—
|
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: GoTo.com | Statement: [Bill Gross, founded, GoTo.com]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GoTo.com Context triple: [Bill Gross, founded, GoTo.com]
-
A.
GoTo.com
chosen
GoTo.com was an early internet search engine and pay-per-click advertising pioneer that later became known as Overture Services.
-
B.
Go.com
Go.com is a web portal and online services brand owned by The Walt Disney Company that historically aggregated search, news, entertainment, and other internet content.
-
C.
Goto
Goto is a city located on the Gotō Islands in Nagasaki Prefecture, Japan, known for its scenic coastal landscapes and historic Christian sites.
-
D.
Trianda
Trianda is a town on the northwest coast of the Greek island of Rhodes, known for its beaches and proximity to the island’s capital.
-
E.
Lycos
Lycos is an early web search engine and internet portal that was popular in the 1990s alongside rivals like AltaVista and Yahoo.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5017f63dc819083a675d570620f2f |
completed | April 19, 2026, 4:23 p.m. |
Created at: April 10, 2026, 10:35 a.m.