Triple
T18148365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudebox |
E434443
|
entity |
| Predicate | includesSong |
P7178
|
FINISHED |
| Object | Lovelight |
—
|
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: Lovelight | Statement: [Rudebox, includesSong, Lovelight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lovelight Context triple: [Rudebox, includesSong, Lovelight]
-
A.
Lovelight
chosen
"Lovelight" is a lesser-known song by ABBA, originally released as the B-side to their 1979 single "Chiquitita."
-
B.
SmugMug
SmugMug is a photography-focused image hosting and sharing platform that caters to professional and enthusiast photographers with customizable galleries and paid subscription plans.
-
C.
Shutterfly
Shutterfly is an online photo services company best known for allowing users to create and order personalized photo books, prints, and gifts.
-
D.
Flickr for Android
Flickr for Android is the official Android application that lets users browse, upload, organize, and share photos and videos from the Flickr service on their mobile devices.
-
E.
Photobucket
Photobucket is an online image and video hosting and sharing service that was especially popular in the mid-2000s for embedding photos on social media, blogs, and forums.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de360ae88190abe1ed13243e9924 |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.