Triple
T13892976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Like a Prayer |
E334018
|
entity |
| Predicate | followedBySingle |
P134
|
FINISHED |
| Object | Express Yourself |
E597063
|
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: Express Yourself | Statement: [Like a Prayer, followedBySingle, Express Yourself]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Express Yourself Context triple: [Like a Prayer, followedBySingle, Express Yourself]
-
A.
Express Yourself
chosen
"Express Yourself" is a politically charged hip-hop track by N.W.A that critiques censorship and social injustice while encouraging artistic freedom.
-
B.
Express
"Express" is a popular song from the film and stage musical "Burlesque," known for its sultry style and association with Christina Aguilera’s performance.
-
C.
Express
Express is the nickname of the Windsor Express, a professional basketball team based in Windsor, Ontario, Canada.
-
D.
Express
Express is an American fashion retailer known for its trendy, youth-oriented apparel and accessories sold through mall-based stores and online.
-
E.
Express
Express is a minimalist and flexible web application framework for Node.js, widely used for building APIs and server-side applications.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a537d4819093c2bae2a244816a |
completed | April 14, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c71ca8a881908ac02687fbfe62fb |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:15 p.m.