Triple
T975916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Day |
E21051
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Warning |
E21054
|
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: Warning | Statement: [Green Day, notableWork, Warning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warning Context triple: [Green Day, notableWork, Warning]
-
A.
Warning
chosen
"Warning" is a 2000 studio album by American punk rock band Green Day that marked a stylistic shift toward more acoustic and pop-influenced sounds.
-
B.
Warning
"Warning" is a 1994 storytelling-driven hip-hop track by The Notorious B.I.G. that showcases his vivid narrative style and gritty depiction of street life.
-
C.
Warnar
Warnar is an alternative spelling or variant form of the name Warner.
-
D.
Peril
Peril is a nonfiction political book by journalists Bob Woodward and Robert Costa that chronicles the tumultuous final months of the Trump administration and the 2020 presidential transition.
-
E.
Trigger
Trigger was the famous golden palomino horse best known as Roy Rogers’ iconic movie and television mount in mid-20th-century Westerns.
- 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_69a493c2b62c8190b616351789ec47f8 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b46234c88190b2bfc9cafe59d7f7 |
completed | March 1, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac170c0fdc8190b904ca5737764f5a |
completed | March 7, 2026, 12:16 p.m. |
Created at: March 1, 2026, 7:40 p.m.