Triple
T20348146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Day singles |
E495927
|
entity |
| Predicate | includesWork |
P2011
|
FINISHED |
| Object | Holiday |
—
|
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: Holiday | Statement: [Green Day singles, includesWork, Holiday]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holiday Context triple: [Green Day singles, includesWork, Holiday]
-
A.
Holiday
chosen
"Holiday" is a politically charged punk rock song by American band Green Day, released as a single from their 2004 album *American Idiot*.
-
B.
Holiday
"Holiday" is a power ballad by the German rock band Scorpions, known for its melodic acoustic passages and emotional, reflective lyrics.
-
C.
Holiday
"Holiday" is a 1983 dance-pop song by Madonna that became one of her first major hits and a signature track in her early career.
-
D.
Holiday
Holiday was a mid-20th-century American travel and lifestyle magazine renowned for its high-quality writing, photography, and coverage of destinations around the world.
-
E.
Holiday
Holiday is an author best known for writing the work "Tomorrow and Tomorrow."
- 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_69e0b4a3320881909495ae8bc30bc2dc |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6783af5dc8190a40c3b9816cd1aef |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:24 a.m.