Triple
T4553712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hard Core |
E120430
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Crush on You |
E451618
|
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: Crush on You | Statement: [Hard Core, hasTrack, Crush on You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crush on You Context triple: [Hard Core, hasTrack, Crush on You]
-
A.
Crush on You
"Crush on You" is a song featured on Bruce Springsteen's 1980 rock album *The River*.
-
B.
Crush on You
chosen
"Crush on You" is a 1997 hip hop single by Lil' Cease featuring Lil' Kim, best known for its catchy hook and colorful, fashion-forward music video.
-
C.
I’ve Got a Crush on You
"I’ve Got a Crush on You" is a popular George and Ira Gershwin standard that has become a jazz and pop classic, widely recorded by vocalists including Ella Fitzgerald.
-
D.
You Are Love
"You Are Love" is a romantic duet from the classic 1927 Jerome Kern and Oscar Hammerstein II musical *Show Boat*, celebrated as one of its central love songs.
-
E.
The One I Love
The One I Love is a 2014 American surreal romantic dramedy film starring Mark Duplass and Elisabeth Moss, centered on a troubled couple whose weekend retreat takes an unexpectedly bizarre turn.
- 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd58127ed08190a04962a43afb888b |
completed | March 20, 2026, 2:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdd3968b4c819082314a0dd9fb4202 |
completed | March 20, 2026, 11:09 p.m. |
Created at: March 20, 2026, 1:09 p.m.