Triple
T3275480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia Michaels |
E68747
|
entity |
| Predicate | name |
P16
|
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: [Julia Michaels, name, Julia Michaels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julia Michaels Context triple: [Julia Michaels, name, 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.
Meghan Trainor
Meghan Trainor is an American singer-songwriter and pop artist best known for her retro-influenced hits like "All About That Bass" and her body-positive, doo-wop-inspired sound.
-
C.
Phoebe Mendes
Phoebe Mendes is the daughter of acclaimed British film and theatre director Sam Mendes.
-
D.
Sky Ferreira
Sky Ferreira is an American singer, songwriter, model, and actress known for her synth-pop and indie pop music, particularly her critically acclaimed debut album "Night Time, My Time."
-
E.
Amber Mark
Amber Mark is an American singer, songwriter, and producer known for her soulful blend of R&B, pop, and global influences.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0110f1c8190ae60708b686cbbf9 |
completed | March 8, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e8462a0c8190aba2330da6c49ecf |
completed | March 12, 2026, 4:22 p.m. |
Created at: March 8, 2026, 3:10 p.m.