Triple
T2258091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | War & Leisure |
E49772
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Sky Walker |
E49776
|
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: Sky Walker | Statement: [War & Leisure, hasSingle, Sky Walker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sky Walker Context triple: [War & Leisure, hasSingle, Sky Walker]
-
A.
Sky Walker
chosen
"Sky Walker" is a laid-back, melodic R&B/hip-hop track by Miguel featuring Travis Scott, known for its smooth production and carefree, celebratory vibe.
-
B.
Ridley
Ridley is the given name of the renowned British film director and producer Ridley Scott.
-
C.
Rey
Rey is the central Force-sensitive protagonist of the Star Wars sequel trilogy, who rises from a scavenger on Jakku to a key figure in the battle between the Jedi and the Sith.
-
D.
Rey
Rey is an ancient city in Iran, now effectively a southern suburb of Tehran, known for its historical and archaeological significance.
-
E.
StarWalker
StarWalker is a Montblanc luxury writing instrument line known for its modern, futuristic design and distinctive floating emblem.
- 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_69a88aaa9250819095e127d0d77e8a32 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc15839fc8190b17e040c4c765a8c |
completed | March 7, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f067f208190a399e2b1a83badd1 |
completed | March 9, 2026, 8:04 a.m. |
Created at: March 4, 2026, 7:48 p.m.