Triple
T8085925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cradle and All |
E188731
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Virgin |
E204142
|
NE FINISHED |
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: [Cradle and All, basedOn, Virgin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Virgin Context triple: [Cradle and All, basedOn, 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 the distinctive radio callsign used by Virgin Atlantic Airways for its commercial flight operations.
-
C.
Crystal
Crystal is a suburban city in Hennepin County, Minnesota, located just northwest of Minneapolis.
-
D.
Crystal
Crystal is a feminine given name often associated with clarity and beauty, derived from the English word for clear, transparent mineral or glass.
-
E.
Crystal
Crystal is a statically typed, compiled programming language with Ruby-inspired syntax designed for high performance and concurrency.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82b662e88190b9323daab8c28a21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4160e4748190ae63624a2a03d09f |
completed | March 31, 2026, 3:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc6402e41c819095442775938d4282 |
completed | April 1, 2026, 12:17 a.m. |
Created at: March 30, 2026, 5:29 p.m.