Triple
T18258101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Go.com |
E437267
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Go Network |
—
|
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: Go Network | Statement: [Go.com, formerName, Go Network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Go Network Context triple: [Go.com, formerName, Go Network]
-
A.
Go Network
chosen
Go Network was an internet portal and web services brand operated by Disney in the late 1990s and early 2000s, offering search, email, and curated online content.
-
B.
Canvas Network
Canvas Network is an online learning platform that hosts and delivers massive open online courses (MOOCs) from universities and institutions worldwide.
-
C.
AVE network
The AVE network is Spain’s high-speed rail system that connects major cities across the country with fast, long-distance train services.
-
D.
AnyNet
AnyNet is a brand name used for CEC Control’s networking and connectivity solutions.
-
E.
Network
Network is a 1976 satirical drama film directed by Sidney Lumet that critiques television news and media sensationalism.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd8879e88190893f8da7c3529496 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:34 a.m.