Triple
T15328740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Layers |
E366478
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Shine |
unclear NED1
|
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: Shine | Statement: [Layers, hasPart, Shine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shine Context triple: [Layers, hasPart, Shine]
-
A.
Shine
Shine is a studio album by British R&B singer Estelle that showcases her blend of soul, hip hop, and pop influences.
-
B.
Shine
"Shine" is a pop song by British boy band Take That, known for its upbeat, retro-inspired sound and success as a major UK hit.
-
C.
Shine
"Shine" is a hip-hop track by the California rap duo Audio Push, known for its motivational lyrics and polished, West Coast-influenced production.
-
D.
Shine
"Shine" is a late-career studio album by Canadian singer-songwriter Joni Mitchell, noted for its reflective, politically conscious songs and sparse, jazz-influenced arrangements.
-
E.
Shine
Shine is a creative work, likely in music or film, best known as the creator or primary artist behind the piece "Back in Love."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69fef8af92a88190bd47f1a484f25eb1 |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:16 a.m.