Triple
T15328813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book of Ryan |
E366479
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object | Layers |
E366478
|
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: Layers | Statement: [Book of Ryan, precededBy, Layers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Layers Context triple: [Book of Ryan, precededBy, Layers]
-
A.
Layers
chosen
Layers is a studio album by American rapper Royce da 5'9" that showcases his introspective lyricism and complex wordplay.
-
B.
Levels
"Levels" is a 2011 EDM track by Swedish DJ and producer Avicii that became a global hit and genre-defining anthem, notable for its iconic synth riff and use of a vocal sample from Etta James.
-
C.
Blocks
Blocks is a Python deep learning framework built on top of Theano that provides modular, reusable components for constructing and training neural networks.
-
D.
Layer Cake
Layer Cake is a 2004 British crime thriller film directed by Matthew Vaughn, known for its stylish depiction of London’s criminal underworld and for helping launch Daniel Craig to wider fame.
-
E.
Steps
Steps is a British pop group known for their catchy dance-pop hits and choreographed performances, particularly popular in the late 1990s and early 2000s.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dffd6f88190a0f031ee90c6a7d2 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01ecb904819082454622dcd77556 |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:16 a.m.