Triple
T20374443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rise and Fall, Rage and Grace |
E497654
|
entity |
| Predicate | single |
P3283
|
FINISHED |
| Object | Half-Truism |
—
|
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: Half-Truism | Statement: [Rise and Fall, Rage and Grace, single, Half-Truism]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Half-Truism Context triple: [Rise and Fall, Rage and Grace, single, Half-Truism]
-
A.
Half-Truism
chosen
"Half-Truism" is a song by American punk rock band The Offspring from their 2008 album "Rise and Fall, Rage and Grace."
-
B.
Practically True
Practically True is a book by British actor and raconteur Ernest Thesiger, likely reflecting his wit, theatrical experiences, and personal anecdotes.
-
C.
Truisms
Truisms is a seminal series of brief, provocative text-based statements by artist Jenny Holzer that challenge social norms and political assumptions, often displayed in public spaces.
-
D.
Truth for a Truth
"Truth for a Truth" is a country song recorded by the American duo Women + Country.
-
E.
Simple Truth
Simple Truth is Kroger's flagship natural and organic private-label brand offering a wide range of minimally processed, free-from products.
- 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678abae8881908d7752f45a82857f |
completed | April 20, 2026, 7:04 p.m. |
Created at: April 16, 2026, 11:27 a.m.