Triple
T8427597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sia |
E199040
|
entity |
| Predicate | studioAlbum |
P25507
|
FINISHED |
| Object | OnlySee |
E731816
|
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: OnlySee | Statement: [Sia, studioAlbum, OnlySee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OnlySee Context triple: [Sia, studioAlbum, OnlySee]
-
A.
OnlySee
chosen
OnlySee is the little-known, independently released first album by Australian singer-songwriter Sia, showcasing her early downtempo and trip-hop–influenced sound.
-
B.
On Sight
"On Sight" is the abrasive, electronic-influenced opening track from Kanye West's 2013 album *Yeezus*, known for its distorted production and confrontational tone.
-
C.
Wonder View
Wonder View is a famous scenic lookout point along South Africa’s Panorama Route, renowned for its expansive views over the Lowveld and surrounding landscapes.
-
D.
Do You See
"Do You See" is a 1994 hip hop single by West Coast rapper and producer Warren G, known for its smooth G-funk production and reflective lyrics.
-
E.
See
See is a post-apocalyptic science fiction television series in which a future human society has lost the sense of sight, leading to unique cultural and power struggles.
- 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbd124378c819086ea2fa6ecbfffe1 |
completed | March 31, 2026, 1:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d502c448190aabc957786bde79f |
completed | April 2, 2026, 7:40 a.m. |
Created at: March 30, 2026, 6:07 p.m.