Triple
T19664396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | At Folsom Prison |
E472163
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | 25 Minutes to Go |
—
|
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: 25 Minutes to Go | Statement: [At Folsom Prison, hasPart, 25 Minutes to Go]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 25 Minutes to Go Context triple: [At Folsom Prison, hasPart, 25 Minutes to Go]
-
A.
25 Minutes to Go
chosen
"25 Minutes to Go" is a darkly comic country-folk song, popularized by Johnny Cash, that narrates a condemned prisoner's final moments on death row.
-
B.
Ten Minutes
Ten Minutes is a stand-up comedy special by comedian Byron Bowers.
-
C.
Ten Minutes
"Ten Minutes" is a popular emo and indie rock song by The Get Up Kids, known for its energetic tempo and emotionally charged lyrics.
-
D.
10 Minutes
"10 Minutes" is a short film directed by Satie Gossett that explores themes of race, justice, and the life-altering impact of a brief encounter with law enforcement.
-
E.
The Next Ten Minutes
"The Next Ten Minutes" is a pivotal duet from the musical *The Last Five Years* in which the two protagonists marry, marking the emotional and structural midpoint of the show.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6416749d48190b141a6acd20c9694 |
completed | April 20, 2026, 3:08 p.m. |
Created at: April 10, 2026, 1:45 p.m.