Triple
T12200152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geordie |
E290688
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Save the World |
E774756
|
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: Save the World | Statement: [Geordie, album, Save the World]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Save the World Context triple: [Geordie, album, Save the World]
-
A.
Save the World
chosen
"Save the World" is a song by the American rock band Crush, known for its emotive lyrics and powerful, guitar-driven sound.
-
B.
Savior of the World
Savior of the World is the English title commonly used for the Renaissance painting "Salvator Mundi," traditionally attributed to Leonardo da Vinci and depicting Christ as the savior holding a crystal orb.
-
C.
New World
The New World refers to the Western Hemisphere, especially the Americas, as distinguished from the Old World of Europe, Asia, and Africa.
-
D.
New World
New World is a South Korean crime thriller film in which Lee Jung-jae plays a central role in a tense story of undercover operations and power struggles within a powerful crime syndicate.
-
E.
New World
New World is a New Zealand-based supermarket chain and retail brand.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c79f6cc8190ae8163d2016078c0 |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a933fc481909f9e062365bf05fc |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:50 p.m.