Triple
T22129059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alapalooza |
E546861
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Bad Hair Day |
—
|
NE NERFINISHED |
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: Bad Hair Day | Statement: [Alapalooza, followedBy, Bad Hair Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Hair Day Context triple: [Alapalooza, followedBy, Bad Hair Day]
-
A.
Bad Hair Day
chosen
Bad Hair Day is a 1996 comedy album by "Weird Al" Yankovic featuring parody songs such as the hit single "Amish Paradise."
-
B.
Bad Day
"Bad Day" is a song by Canadian singer Justin Bieber from his 2013 compilation album *Journals*.
-
C.
What a Day
"What a Day" is the debut solo album by virtuoso guitarist and singer-songwriter Phil Keaggy, showcasing his early blend of Christian themes with intricate acoustic and electric guitar work.
-
D.
Get Out Of My Hair
"Get Out Of My Hair" is a song featured on the album "Love for Sale."
-
E.
Cut My Hair
"Cut My Hair" is a reflective rock song by The Who from their 1973 concept album *Quadrophenia*, exploring themes of identity, conformity, and adolescent angst.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12983acfc81908013f66acb31f198 |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:32 p.m.