Triple
T9058669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bounce |
E217066
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | Hook Me Up |
E546770
|
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: Hook Me Up | Statement: [Bounce, track, Hook Me Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hook Me Up Context triple: [Bounce, track, Hook Me Up]
-
A.
Hook Me Up
chosen
Hook Me Up is the second studio album by Australian pop duo The Veronicas, noted for its shift toward an electro-pop and dance-pop sound.
-
B.
The Hook Up
"The Hook Up" is a reggae-influenced R&B song by Britney Spears from her 2003 album *In the Zone*.
-
C.
Catch Me
"Catch Me" is a crime thriller novel by Lisa Gardner featuring detective D.D. Warren as she investigates a woman's chilling prediction of her own imminent murder.
-
D.
Out ta Get Me
"Out ta Get Me" is a hard rock song by Guns N' Roses from their landmark 1987 debut album Appetite for Destruction.
-
E.
Hung Up
"Hung Up" is a 2005 dance-pop song by Madonna that became a global hit, notable for its heavy use of disco influences and a prominent sample from ABBA.
- 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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7ec924f481908ca2eac98c68a41d |
completed | April 1, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebe40ec08190a1da2aa1c6577723 |
completed | April 3, 2026, 4:33 p.m. |
Created at: March 30, 2026, 7:10 p.m.