Triple
T15451957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Can't Take Me Home |
E371675
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | There You Go |
E314487
|
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: There You Go | Statement: [Can't Take Me Home, hasSingle, There You Go]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: There You Go Context triple: [Can't Take Me Home, hasSingle, There You Go]
-
A.
There You Go
chosen
"There You Go" is the 2000 debut single by American singer Pink, an R&B-influenced breakup song that helped launch her music career.
-
B.
I Go for You
"I Go for You" is a song featured in the 1979 Music for UNICEF Concert, a charity event where prominent artists performed to support UNICEF’s work for children.
-
C.
Wherever You Go
"Wherever You Go" is a song by the American rock band One Emotion.
-
D.
Got to Go
"Got to Go" is a song by the South Korean girl group Flo (often stylized as FLOT) known for its catchy K-pop sound and polished production.
-
E.
Where Will You Go
"Where Will You Go" is a song by the American R&B group Babyface from their album "Tender Lover."
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03efaf82c81908b464e37ce9c159a |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21b3c5a481908057e94fd84f3cfc |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:30 a.m.