Triple
T10717618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sex for Breakfast |
E252719
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Bionic |
E51470
|
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: Bionic | Statement: [Sex for Breakfast, album, Bionic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bionic Context triple: [Sex for Breakfast, album, Bionic]
-
A.
Bionic (album)
chosen
Bionic is a 2010 studio album by American singer Christina Aguilera that blends pop, electronic, and R&B influences with futuristic, experimental production.
-
B.
Cyborg
Cyborg is a prominent DC Comics superhero, best known as a technologically enhanced human and key member of teams like the Teen Titans and the Justice League.
-
C.
Singularity
Singularity is a science-fiction first-person shooter video game developed by Raven Software that blends time-manipulation mechanics with action and horror elements.
-
D.
The Machine
The Machine is the nickname of Albert Pujols, a Dominican-American former Major League Baseball first baseman renowned for his remarkably consistent and powerful hitting.
-
E.
The Machine
The Machine is a powerful, clandestine artificial superintelligence from the TV series "Person of Interest" that predicts violent crimes by analyzing global surveillance data.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff36558c81908682adbe7b5dce05 |
completed | April 9, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e6afdf0c8190924cb14512a89ee8 |
completed | April 18, 2026, 8:16 p.m. |
Created at: April 8, 2026, 9:13 p.m.