Triple
T8238880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebecca Black Was Here |
E192479
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Sing It |
E189549
|
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: Sing It | Statement: [Rebecca Black Was Here, hasTrack, Sing It]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sing It Context triple: [Rebecca Black Was Here, hasTrack, Sing It]
-
A.
Sing It
chosen
"Sing It" is a 2012 pop single by American singer Rebecca Black that marked a more mature follow-up to her viral debut "Friday."
-
B.
Sing Sing
Sing Sing is a notorious maximum-security prison in Ossining, New York, long known for housing dangerous criminals and for its historical use of the electric chair.
-
C.
Sing for Me
"Sing for Me" is a pop ballad by Christina Aguilera featured on her 2012 studio album *Lotus*.
-
D.
The Sing
"The Sing" is a track by American singer-songwriter Bill Callahan from his critically acclaimed 2013 album *Dream River*, noted for its meditative, narrative-rich style.
-
E.
Our Song
"Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
- 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_69ca82dc8f148190a2c75a98501a7b91 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb783a8cf48190bf85394fd3bd79e2 |
completed | March 31, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd3504e6ac8190b4cb12c80a7e7fc0 |
completed | April 1, 2026, 3:08 p.m. |
Created at: March 30, 2026, 5:47 p.m.