Triple
T16696271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whole Lotta Red |
E405722
|
entity |
| Predicate | hasNotableTrack |
P8087
|
FINISHED |
| Object | Sky |
E405728
|
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 | Statement: [Whole Lotta Red, hasNotableTrack, Sky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sky Context triple: [Whole Lotta Red, hasNotableTrack, Sky]
-
A.
Sky
Sky is a charming and supportive young man from the musical and film "Mamma Mia!", known for his relationship with Sophie Sheridan and their plans to build a life together.
-
B.
Sky
chosen
"Sky" is a popular track by American rapper Playboi Carti, known for its hypnotic production and viral presence within the cloud rap and trap scenes.
-
C.
Sky
Sky is a given name that can be used for people of any gender, often evoking openness, freedom, and nature.
-
D.
Sky
Sky is a character associated with the "Woman of Steel" universe, likely serving as a key supporting figure or aspect of the heroine’s world.
-
E.
Sky
Sky is the expanse of atmosphere and space visible from Earth, often perceived as a blue dome by day and a star-filled void by night.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37eadc35881909fb0cc405a0e2fae |
completed | April 18, 2026, 12:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00919d02088190acecb1a62a100255 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.