Triple
T14703726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You're Welcome |
E345370
|
entity |
| Predicate | title |
P38
|
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: [You're Welcome, title, You're Welcome]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You're Welcome Context triple: [You're Welcome, title, 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.
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.
-
C.
Thank U
"Thank U" is a reflective alternative rock song by Alanis Morissette, known for its introspective lyrics about gratitude and personal growth.
-
D.
Happy to Give
"Happy to Give" is a song featured on Journey's 1986 album "Raised on Radio."
-
E.
Nice to Know You
"Nice to Know You" is a popular rock song by the American band Incubus, known for its dynamic guitar work and introspective lyrics.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb6071e5c8190bb5509c859135c2d |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0861c308190af0b5da403ecb321 |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:28 a.m.