Triple
T8775533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leave It |
E208571
|
entity |
| Predicate | hasRemix |
P9639
|
FINISHED |
| Object | Leave It (Hello, Goodbye mix) |
E208571
|
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: Leave It (Hello, Goodbye mix) | Statement: [Leave It, hasRemix, Leave It (Hello, Goodbye mix)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leave It (Hello, Goodbye mix) Context triple: [Leave It, hasRemix, Leave It (Hello, Goodbye mix)]
-
A.
Leave It
chosen
"Leave It" is a 1983 progressive pop/rock song by the English band Yes, known for its intricate vocal arrangements and multiple remixed versions.
-
B.
Say Goodbye
"Say Goodbye" is a song by American punk rock band Green Day from their 2016 album *Revolution Radio*.
-
C.
Say Goodbye
"Say Goodbye" is a psychological crime thriller novel by Lisa Gardner featuring FBI Special Agent Kimberly Quincy as she investigates a series of disturbing abductions linked to a sadistic predator.
-
D.
Goodbye
"Goodbye" is a song by Alicia Keys from her debut studio album, *Songs in A Minor*.
-
E.
Goodbye
"Goodbye" is a jazz standard composed by Gordon Jenkins that became widely known as the Benny Goodman Orchestra’s closing theme song.
- 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_69ca835edb4481909b4aafb616dc5eb7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f30428881909de72c08972224f0 |
completed | March 31, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf51c760b48190b2138cd2861b2c61 |
completed | April 3, 2026, 5:36 a.m. |
Created at: March 30, 2026, 6:41 p.m.