Triple
T14624035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fear (song) |
E343298
|
entity |
| Predicate | singleFromAlbum |
P1995
|
FINISHED |
| Object | Sway (album) |
E343307
|
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: Sway (album) | Statement: [Fear (song), singleFromAlbum, Sway (album)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sway (album) Context triple: [Fear (song), singleFromAlbum, Sway (album)]
-
A.
Sway
chosen
Sway is a studio album by American alternative rock band Blue October, known for its emotionally charged lyrics and atmospheric rock sound.
-
B.
Sway
Sway is a Microsoft 365 presentation and storytelling app that lets users create interactive, web-based reports, lessons, and presentations.
-
C.
Sway
Sway is a skilled and resourceful associate of car thief Memphis Raines in the film "Gone in 60 Seconds."
-
D.
Sway
Sway is a tiling Wayland compositor and window manager designed as a drop-in, i3-compatible replacement for X11-based setups.
-
E.
Swang
"Swang" is a popular hip-hop single by the duo Rae Sremmurd, featuring melodic vocals from Swae Lee and known for its catchy hook and laid-back production.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb468acc4819083b7e818d5cec809 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5d0514081908c2bdc4fb77b1a7a |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:26 a.m.