Triple
T20334078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Born and Raised |
E492557
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Live and Learn |
—
|
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: Live and Learn | Statement: [Born and Raised, hasPart, Live and Learn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Live and Learn Context triple: [Born and Raised, hasPart, Live and Learn]
-
A.
Live and Learn
"Live and Learn" is the pilot episode of the science fiction television series Falling Skies, introducing its post-apocalyptic world and central characters in the aftermath of an alien invasion.
-
B.
Live and Learn
"Live and Learn" is a song that appears as the B-side to the single "A Better Man."
-
C.
Live and Learn
chosen
"Live and Learn" is a track by American rapper 2 Chainz from his studio album *B.O.A.T.S. II: Me Time*.
-
D.
Live & Learn (album)
Live & Learn is a hard rock/glam metal studio album by the American all-female band Vixen, showcasing their melodic hooks and guitar-driven sound.
-
E.
Learn to Live
Learn to Live is a country music studio album by American singer Darius Rucker that marked his successful transition from rock band frontman to solo country artist.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677e94e2481908898e0a3513e1209 |
completed | April 20, 2026, 7 p.m. |
Created at: April 16, 2026, 11:23 a.m.