Triple
T17381886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virgin Points |
E422587
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Virgin |
—
|
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: Virgin | Statement: [Virgin Points, brand, Virgin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Virgin Context triple: [Virgin Points, brand, Virgin]
-
A.
Virgin
chosen
Virgin is a multinational venture capital and conglomerate brand founded by Richard Branson, best known for its diverse businesses in sectors such as travel, telecommunications, music, and health.
-
B.
Virgin
Virgin is a revered honorific title in Christian tradition signifying a woman’s perpetual chastity and spiritual purity, often associated with saints and the Virgin Mary.
-
C.
VIRGIN
VIRGIN is the distinctive radio callsign used by Virgin Atlantic Airways for its commercial flight operations.
-
D.
Virgin Vision
Virgin Vision was a home video distribution company associated with Virgin Group that released films and other media on VHS and related formats.
-
E.
Verve
Verve was an influential French art and literary magazine renowned for its richly illustrated issues featuring works by leading modern artists and writers.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a86d8cc81909281b22f5da87d70 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.