Triple
T975914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Day |
E21051
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Insomniac |
E21053
|
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: Insomniac | Statement: [Green Day, notableWork, Insomniac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Insomniac Context triple: [Green Day, notableWork, Insomniac]
-
A.
Insomniac
chosen
Insomniac is a 1995 punk rock album by Green Day, known for its heavier, darker sound and fast-paced, aggressive songs.
-
B.
No Sleeep
"No Sleeep" is a sultry, mid-tempo R&B single by Janet Jackson, released in 2015 as the lead track from her album "Unbreakable."
-
C.
Oni
Oni is a small town in the Racha region of northwestern Georgia, known for its mountainous surroundings and traditional Georgian architecture.
-
D.
The Night
The Night is a haunting Expressionist painting by Max Beckmann that depicts the brutal terror and psychological trauma of a violent home invasion.
-
E.
Night Shift
"Night Shift" is a 1978 collection of horror and suspense short stories by Stephen King that helped establish his reputation as a master of the genre.
- 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.