Triple
T18258100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Go.com |
E437267
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object |
Go Network
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.
|
E1315441
|
NE FINISHED |
How this triple was built (4 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, hasBrand, Go Network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Go Network Context triple: [Go.com, hasBrand, Go Network]
-
A.
Canvas Network
Canvas Network is an online learning platform that hosts and delivers massive open online courses (MOOCs) from universities and institutions worldwide.
-
B.
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.
-
C.
AnyNet
AnyNet is a brand name used for CEC Control’s networking and connectivity solutions.
-
D.
Network
Network is a 1976 satirical drama film directed by Sidney Lumet that critiques television news and media sensationalism.
-
E.
Network
Network is a National Hunt stallion best known as the sire of top-class jump racehorses, including the champion chaser Sprinter Sacre.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Go Network Triple: [Go.com, hasBrand, Go Network]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Go Network Target entity description: 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.
-
A.
Canvas Network
Canvas Network is an online learning platform that hosts and delivers massive open online courses (MOOCs) from universities and institutions worldwide.
-
B.
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.
-
C.
AnyNet
AnyNet is a brand name used for CEC Control’s networking and connectivity solutions.
-
D.
Network
Network is a 1976 satirical drama film directed by Sidney Lumet that critiques television news and media sensationalism.
-
E.
Network
Network is a National Hunt stallion best known as the sire of top-class jump racehorses, including the champion chaser Sprinter Sacre.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03b3efff208190924b5e31ad310d94 |
completed | May 12, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_6a03b53fc3688190aa6f8e9673763e79 |
completed | May 12, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03b62cb67481908c78ca4d55710dbd |
completed | May 12, 2026, 11:22 p.m. |
Created at: April 10, 2026, 10:34 a.m.