Triple
T9790139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bleed for This |
E237584
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Julia Holter |
E391187
|
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 Holter | Statement: [Bleed for This, musicBy, Julia Holter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julia Holter Context triple: [Bleed for This, musicBy, Julia Holter]
-
A.
Julia Holter
chosen
Julia Holter is an American singer, songwriter, and composer known for her experimental art-pop music that blends classical, ambient, and avant-garde influences.
-
B.
Joanna Newsom
Joanna Newsom is an American singer-songwriter and harpist known for her intricate compositions, poetic lyrics, and distinctive vocal style.
-
C.
Angel Olsen
Angel Olsen is an American singer-songwriter known for her emotive vocals and genre-blending indie rock and folk music.
-
D.
Melody Gardot
Melody Gardot is an American jazz singer-songwriter known for her sultry vocals, sophisticated arrangements, and blend of jazz, blues, and bossa nova influences.
-
E.
Laura Veirs
Laura Veirs is an American singer-songwriter and guitarist known for her lyrically rich indie folk music and critically acclaimed albums such as "Carbon Glacier" and "July Flame."
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda215b3108190a897552e1dc91cc4 |
completed | April 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c42c9fe081908145911cad6723c2 |
completed | April 5, 2026, 2:08 a.m. |
Created at: March 30, 2026, 8:28 p.m.