Triple
T6292135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Future |
E141041
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Life Is Good |
E342648
|
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: Life Is Good | Statement: [Future, notableWork, Life Is Good]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Life Is Good Context triple: [Future, notableWork, Life Is Good]
-
A.
Life Is Good
chosen
Life Is Good is a 2012 studio album by American rapper Nas that reflects on his personal life, maturity, and legacy in hip-hop.
-
B.
Life's Good
Life's Good is the well-known marketing slogan used by South Korean electronics company LG to promote its brand and products.
-
C.
Ain’t Life Grand
Ain’t Life Grand is a 1994 studio album by American jam band Widespread Panic, known for its blend of Southern rock, improvisational jams, and fan-favorite live staples.
-
D.
Life Is Sweet
Life Is Sweet is a 1990 British comedy-drama film directed by Mike Leigh that portrays the everyday struggles and aspirations of a working-class family in suburban London.
-
E.
Sportin’ Life
Sportin’ Life is the slick, cynical drug dealer and gambler who serves as a charismatic antagonist in George Gershwin’s opera *Porgy and Bess*.
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0641ea224819097b6962e6014c690 |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c51983afd081908d2cfeaeccb40bcb |
completed | March 26, 2026, 11:33 a.m. |
Created at: March 22, 2026, 4:27 p.m.