Triple
T15062515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lana Del Rey |
E379664
|
entity |
| Predicate | stageName |
P7872
|
FINISHED |
| Object | Lana Del Rey |
E115555
|
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: Lana Del Rey | Statement: [Lana Del Rey, stageName, Lana Del Rey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lana Del Rey Context triple: [Lana Del Rey, stageName, Lana Del Rey]
-
A.
Lana Del Rey
chosen
Lana Del Rey is an American singer-songwriter known for her cinematic, melancholic pop music that blends nostalgic Americana with themes of tragic romance and glamour.
-
B.
Margo King
Margo King is a notable individual distinguished enough to be recognized as a prominent bearer of the surname King.
-
C.
Anaïs Mitchell
Anaïs Mitchell is an American singer-songwriter and playwright best known for creating the folk opera and Tony Award–winning Broadway musical "Hadestown."
-
D.
Fiona Apple
Fiona Apple is an American singer-songwriter and pianist known for her emotionally intense lyrics, distinctive vocal style, and critically acclaimed albums such as "Tidal" and "When the Pawn..."
-
E.
Emily King
Emily King is an American singer-songwriter known for her soulful blend of R&B, pop, and jazz influences and her critically acclaimed, Grammy-nominated work.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedee6a55c8190b40c4672fb46b79b |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae0fd7dc8190a10c8eb7542c3088 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 3:02 a.m.