Triple
T20281072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pam Hogg |
E503142
|
entity |
| Predicate | designedFor |
P98
|
FINISHED |
| Object | Bjork |
—
|
NE NERFINISHED |
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: Bjork | Statement: [Pam Hogg, designedFor, Bjork]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bjork Context triple: [Pam Hogg, designedFor, Bjork]
-
A.
Bjork
chosen
Björk is an Icelandic singer, songwriter, and producer known for her innovative, genre-blending music, distinctive voice, and avant-garde visual style.
-
B.
Lykke Li
Lykke Li is a Swedish indie pop singer-songwriter known for her atmospheric, melancholic sound and hits like "I Follow Rivers."
-
C.
Joanna Newsom
Joanna Newsom is an American singer-songwriter and harpist known for her intricate compositions, poetic lyrics, and distinctive vocal style.
-
D.
Enya
Enya is an Irish singer, songwriter, and musician renowned for her ethereal, multi-layered vocal style and atmospheric new-age music that has achieved worldwide commercial success.
-
E.
Tori Amos
Tori Amos is an American singer-songwriter and pianist known for her emotive vocals, classically influenced piano work, and introspective, often confessional lyrics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6768e9f0881909c8fe8772dafd468 |
completed | April 20, 2026, 6:55 p.m. |
Created at: April 16, 2026, 10:38 a.m.