Triple
T11825116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 9Now |
E281238
|
entity |
| Predicate | providesAccessTo |
P1985
|
FINISHED |
| Object |
9Go!
9Go! is an Australian free-to-air digital television multichannel owned by the Nine Network, primarily targeting children, teenagers, and young adults with entertainment programming.
|
E948513
|
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: 9Go! | Statement: [9Now, providesAccessTo, 9Go!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 9Go! Context triple: [9Now, providesAccessTo, 9Go!]
-
A.
Go!
"Go!" is a high-energy song featured on the album "Be," known for its upbeat tempo and motivational tone.
-
B.
Go!
Go! is a classic 1962 hard bop jazz album by tenor saxophonist Dexter Gordon, widely regarded as one of his finest and most accessible recordings.
-
C.
Go Pack Go
"Go Pack Go" is the iconic rallying chant shouted by Green Bay Packers fans to show support for their team.
-
D.
Go Go Tomago
Go Go Tomago is a tough, speed-obsessed engineering student and superheroine from Disney's "Big Hero 6," known for her magnetic disk armor and no-nonsense attitude.
-
E.
Gooba
"Gooba" is a 2020 comeback single by American rapper Tekashi 6ix9ine, known for its aggressive style, colorful visuals, and massive online streaming numbers.
- 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: 9Go! Triple: [9Now, providesAccessTo, 9Go!]
Generated description
9Go! is an Australian free-to-air digital television multichannel owned by the Nine Network, primarily targeting children, teenagers, and young adults with entertainment programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 9Go! Target entity description: 9Go! is an Australian free-to-air digital television multichannel owned by the Nine Network, primarily targeting children, teenagers, and young adults with entertainment programming.
-
A.
Go!
"Go!" is a high-energy song featured on the album "Be," known for its upbeat tempo and motivational tone.
-
B.
Go!
Go! is a classic 1962 hard bop jazz album by tenor saxophonist Dexter Gordon, widely regarded as one of his finest and most accessible recordings.
-
C.
Go Pack Go
"Go Pack Go" is the iconic rallying chant shouted by Green Bay Packers fans to show support for their team.
-
D.
Go Go Tomago
Go Go Tomago is a tough, speed-obsessed engineering student and superheroine from Disney's "Big Hero 6," known for her magnetic disk armor and no-nonsense attitude.
-
E.
Gooba
"Gooba" is a 2020 comeback single by American rapper Tekashi 6ix9ine, known for its aggressive style, colorful visuals, and massive online streaming numbers.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5eb299481909de3c0e85628fbe4 |
completed | April 10, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f132062b108190ad33656c386ee603 |
completed | April 28, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_69f14e8ada3481908ec456c41827160c |
completed | April 29, 2026, 12:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f1571e4ba08190824db812ffc5f35a |
completed | April 29, 2026, 12:55 a.m. |
Created at: April 8, 2026, 9:43 p.m.