Triple
T11950829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paramount Networks UK & Australia |
E284418
|
entity |
| Predicate | brandOwnerOf |
P6092
|
FINISHED |
| Object |
5STAR
5STAR is a British free-to-air television channel offering a mix of drama, reality, and entertainment programming.
|
E956797
|
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: 5STAR | Statement: [Paramount Networks UK & Australia, brandOwnerOf, 5STAR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 5STAR Context triple: [Paramount Networks UK & Australia, brandOwnerOf, 5STAR]
-
A.
5 Star
"5 Star" is a popular 2009 hip-hop single by American rapper Yo Gotti that helped raise his mainstream profile.
-
B.
STAR 50
STAR 50 is a Chinese stock market index comprising 50 leading technology and innovation-focused companies listed on Shanghai’s STAR Market.
-
C.
Best Five
Best Five is an annual B.League honor recognizing the five most outstanding players of the season at each position in Japan’s professional basketball league.
-
D.
FourStar
FourStar is a near-infrared camera and spectrograph used for wide-field astronomical imaging on large ground-based telescopes.
-
E.
GoldStar
GoldStar was the original brand name of the South Korean electronics company now known as LG Electronics, under which it produced a wide range of consumer electronics and home appliances.
- 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: 5STAR Triple: [Paramount Networks UK & Australia, brandOwnerOf, 5STAR]
Generated description
5STAR is a British free-to-air television channel offering a mix of drama, reality, and entertainment programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 5STAR Target entity description: 5STAR is a British free-to-air television channel offering a mix of drama, reality, and entertainment programming.
-
A.
5 Star
"5 Star" is a popular 2009 hip-hop single by American rapper Yo Gotti that helped raise his mainstream profile.
-
B.
STAR 50
STAR 50 is a Chinese stock market index comprising 50 leading technology and innovation-focused companies listed on Shanghai’s STAR Market.
-
C.
Best Five
Best Five is an annual B.League honor recognizing the five most outstanding players of the season at each position in Japan’s professional basketball league.
-
D.
FourStar
FourStar is a near-infrared camera and spectrograph used for wide-field astronomical imaging on large ground-based telescopes.
-
E.
GoldStar
GoldStar was the original brand name of the South Korean electronics company now known as LG Electronics, under which it produced a wide range of consumer electronics and home appliances.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90364c2608190a3946c9595c71164 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f458f16f088190a0005ff0fd4f547f |
completed | May 1, 2026, 7:40 a.m. |
| NEDg | Description generation | batch_69f45f86349c81909a806fd7be4008e9 |
completed | May 1, 2026, 8:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f4647ee1748190975bce3bbf51a3bc |
completed | May 1, 2026, 8:29 a.m. |
Created at: April 8, 2026, 9:45 p.m.