Triple
T17381842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virgin Points |
E422587
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object |
Virgin Red
Virgin Red is the Virgin Group’s rewards and loyalty program app that lets members earn and spend Virgin Points across a wide range of Virgin brands and partners.
|
E1266162
|
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: Virgin Red | Statement: [Virgin Points, usedBy, Virgin Red]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Virgin Red Context triple: [Virgin Points, usedBy, Virgin Red]
-
A.
Ultra Red
Ultra Red is a flavor variant of Monster Energy known for its bright red color and sweet, berry-like taste.
-
B.
Velvet
Velvet is a Spanish romantic drama television series set in a 1950s fashion house, focusing on the love story between a seamstress and the heir to the business.
-
C.
Velvet
Velvet is a spy thriller comic book series written by Ed Brubaker that follows a veteran female secret agent drawn back into the world of espionage.
-
D.
Velvet
Velvet is a studio album by American singer Adam Lambert that showcases his blend of glam rock, pop, and soulful retro influences.
-
E.
Blue Furia
Blue Furia is a passionate supporters’ group of Charlotte FC known for energizing matches with coordinated chants, displays, and fan activities.
- 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: Virgin Red Triple: [Virgin Points, usedBy, Virgin Red]
Generated description
Virgin Red is the Virgin Group’s rewards and loyalty program app that lets members earn and spend Virgin Points across a wide range of Virgin brands and partners.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Virgin Red Target entity description: Virgin Red is the Virgin Group’s rewards and loyalty program app that lets members earn and spend Virgin Points across a wide range of Virgin brands and partners.
-
A.
Ultra Red
Ultra Red is a flavor variant of Monster Energy known for its bright red color and sweet, berry-like taste.
-
B.
Velvet
Velvet is a Spanish romantic drama television series set in a 1950s fashion house, focusing on the love story between a seamstress and the heir to the business.
-
C.
Velvet
Velvet is a studio album by American singer Adam Lambert that showcases his blend of glam rock, pop, and soulful retro influences.
-
D.
Velvet
Velvet is a spy thriller comic book series written by Ed Brubaker that follows a veteran female secret agent drawn back into the world of espionage.
-
E.
Blue Furia
Blue Furia is a passionate supporters’ group of Charlotte FC known for energizing matches with coordinated chants, displays, and fan activities.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a86d8cc81909281b22f5da87d70 |
completed | April 19, 2026, 2:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019ff527a48190bc067819a26661eb |
completed | May 11, 2026, 9:23 a.m. |
| NEDg | Description generation | batch_6a01a0d55d688190ad278f7189711773 |
completed | May 11, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a1b4b2888190bcd8c008567c9c1e |
completed | May 11, 2026, 9:30 a.m. |
Created at: April 10, 2026, 5:45 a.m.