Triple
T22127130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four |
E546816
|
entity |
| Predicate | includesSong |
P7178
|
FINISHED |
| Object | Spaces |
—
|
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: Spaces | Statement: [Four, includesSong, Spaces]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spaces Context triple: [Four, includesSong, Spaces]
-
A.
Spaces
Spaces is a virtual desktop feature in macOS that lets users organize and switch between multiple workspaces to manage open applications and windows more efficiently.
-
B.
Spaces
Spaces is Hugging Face’s platform for hosting and sharing interactive machine learning demos and applications directly in the browser.
-
C.
Espacio
"Espacio" is a hip-hop track by Black Rob that showcases his gritty lyrical style over a dark, atmospheric beat.
-
D.
The Space
The Space is an intimate London fringe theatre and arts venue known for showcasing innovative and emerging performance work.
-
E.
Space
Space is a Canadian specialty television channel known for broadcasting science fiction, fantasy, horror, and genre-related programming.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12982eaa08190933d3036c020f562 |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:31 p.m.