Triple
T16641307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheezus |
E404342
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | URL Badman |
E1225429
|
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: URL Badman | Statement: [Sheezus, hasSingle, URL Badman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: URL Badman Context triple: [Sheezus, hasSingle, URL Badman]
-
A.
URL Badman
chosen
URL Badman is a song by English singer-songwriter Lily Allen from her 2014 album "Sheezus," known for its satirical take on internet culture and online critics.
-
B.
Ugly Man
Ugly Man is a collection of dark, experimental short stories by American writer Dennis Cooper, known for its transgressive themes and minimalist style.
-
C.
Madman
Madman is a quirky, retro-styled comic book superhero created by Mike Allred, known for his existential adventures, pop-art visuals, and offbeat blend of action and surreal humor.
-
D.
Barmedman
Barmedman is a small rural town in the Riverina region of New South Wales, Australia, known historically for its wheat farming and mineral springs.
-
E.
Banzai Bill
Banzai Bill is a massive, slow-moving Bullet Bill variant from the Super Mario series that flies horizontally across the screen as a powerful obstacle.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad1a7748190aa9308d4e96c566c |
completed | April 18, 2026, 12:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a2ce64c8190970c86b729a6ff83 |
completed | May 10, 2026, 1:37 p.m. |
Created at: April 10, 2026, 5:18 a.m.