Triple
T3970637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knock Knock |
E92323
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Sweet Treat |
E313353
|
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: Sweet Treat | Statement: [Knock Knock, hasTrack, Sweet Treat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sweet Treat Context triple: [Knock Knock, hasTrack, Sweet Treat]
-
A.
Sweet Treat
chosen
"Sweet Treat" is a song featured on the album *Knock Knock*.
-
B.
Sweetums
Sweetums is a large, shaggy, ogre-like Muppet character known for his imposing appearance and surprisingly gentle, lovable personality.
-
C.
Sugar on a Stick
Sugar on a Stick is a portable, USB-based distribution of the Sugar learning environment designed to provide children with an easy, bootable educational platform.
-
D.
Sweetie
Sweetie is a 1989 Australian black comedy-drama film directed by Jane Campion that explores a dysfunctional family through darkly surreal and psychologically intense storytelling.
-
E.
Candy Shop
"Candy Shop" is a 2005 hip hop single by 50 Cent featuring Olivia, produced by Scott Storch, known for its seductive lyrics and catchy, club-oriented beat.
- 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9942c908190aface17a4e8d356d |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5400b75d081909b8e4840b15d19f1 |
completed | March 14, 2026, 11:01 a.m. |
Created at: March 9, 2026, 3:32 p.m.