Triple
T13993211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Si Tú Te Vas |
E336631
|
entity |
| Predicate | titleTranslationEnglish |
P6688
|
FINISHED |
| Object | If You Go |
E824499
|
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: If You Go | Statement: [Si Tú Te Vas, titleTranslationEnglish, If You Go]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: If You Go Context triple: [Si Tú Te Vas, titleTranslationEnglish, If You Go]
-
A.
There You Go
"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.
On I Go
"On I Go" is the introspective, rhythmically driven closing track from Fiona Apple's critically acclaimed album "Fetch the Bolt Cutters."
-
D.
Should I Go
"Should I Go" is a song by American singer Beyoncé from her 2003 debut solo album "Dangerously in Love."
-
E.
"If You Go"
chosen
"If You Go" is a 1994 pop ballad by Cuban-American singer Jon Secada that became one of his best-known international hits.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb3b5d881909f15a1e08bb202f3 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac9a7e8c8190a0fd0cd67ff50741 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.