Triple
T15193923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heroes and Villains |
E363095
|
entity |
| Predicate | bSide |
P15273
|
FINISHED |
| Object | You’re Welcome |
E345370
|
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: You’re Welcome | Statement: [Heroes and Villains, bSide, You’re Welcome]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You’re Welcome Context triple: [Heroes and Villains, bSide, You’re Welcome]
-
A.
You’re Welcome
chosen
"You're Welcome" is a popular, comedic song from Disney's animated film *Moana*, performed by the demigod Maui to boast about his heroic feats.
-
B.
Thank U
"Thank U" is a reflective alternative rock song by Alanis Morissette, known for its introspective lyrics about gratitude and personal growth.
-
C.
Willkommen
"Willkommen" is the iconic opening number from the musical *Cabaret*, introducing the seedy, seductive world of the Kit Kat Klub and its enigmatic Emcee.
-
D.
Giving You More
"Giving You More" is a song by Aaliyah from her 1996 album "One in a Million," showcasing her smooth R&B style and collaboration with producer Timbaland.
-
E.
It’s OK
"It’s OK" is a song produced by British music producer Alex da Kid, known for his work blending pop, hip hop, and alternative influences.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067eb710819085211fd05d5fa5f0 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec8995bb08190bd7f0be0a0fcf1e7 |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:10 a.m.