Triple
T10262589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lion King: The Gift |
E240634
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Raye |
E184055
|
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: Raye | Statement: [The Lion King: The Gift, featuresArtist, Raye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raye Context triple: [The Lion King: The Gift, featuresArtist, Raye]
-
A.
Raye
chosen
Raye is a British singer, songwriter, and producer known for her genre-blending pop and R&B music and collaborations with prominent artists across electronic and hip-hop scenes.
-
B.
Ray Ray
Ray Ray is a music producer known for his work on the album "Instant Vintage."
-
C.
Ryen
Ryen is a residential neighborhood in Oslo, Norway, known for its apartment blocks, local amenities, and good public transport connections.
-
D.
Rayner
Rayner is a masculine given name of Germanic origin, commonly considered a variant of names like Ragnar or Rayner/Rainer that convey meanings related to counsel or judgment.
-
E.
Alex Ray
Alex Ray is a researcher in reinforcement learning best known for co-authoring the Hindsight Experience Replay (HER) algorithm that improves learning from sparse rewards.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d25dac34819099dbfad7f80507bb |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7f81dd481909022efde8fc46e68 |
completed | April 9, 2026, 12:51 a.m. |
Created at: April 6, 2026, 11:32 a.m.