Triple
T11307370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Pill Blues |
E267749
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Julia Michaels |
E68747
|
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: Julia Michaels | Statement: [Red Pill Blues, featuresArtist, Julia Michaels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julia Michaels Context triple: [Red Pill Blues, featuresArtist, Julia Michaels]
-
A.
Julia Michaels
chosen
Julia Michaels is an American singer-songwriter known for her introspective pop hits and for penning songs for major artists like Justin Bieber and Selena Gomez.
-
B.
Addie Wolff
Addie Wolff was the wife of prominent American investment banker and philanthropist Otto H. Kahn.
-
C.
Rachel Antonoff
Rachel Antonoff is an American fashion designer known for her whimsical, narrative-driven womenswear and feminist, politically engaged designs.
-
D.
Poppy Corby-Tuech
Poppy Corby-Tuech is a French-British actress best known for her role as Vinda Rosier in the Fantastic Beasts film series.
-
E.
Lauren Jauregui
Lauren Jauregui is an American singer and songwriter best known as a former member of the girl group Fifth Harmony and for her subsequent solo music career.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9bf87d88190904c2d174578ebbf |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a62ceec8190af25edf44c5fc1e9 |
completed | April 19, 2026, 5:01 p.m. |
Created at: April 8, 2026, 9:32 p.m.