Triple
T21441058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 38 Special |
E528938
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Second Chance |
—
|
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: Second Chance | Statement: [38 Special, notableWork, Second Chance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Second Chance Context triple: [38 Special, notableWork, Second Chance]
-
A.
Second Chance
Second Chance is a 1953 American film noir crime drama notable for its early use of 3D technology and direction by Rudolph Maté.
-
B.
Second Chance
Second Chance is a science fiction crime drama television series that follows a resurrected former sheriff who uses his second life to help his son solve crimes.
-
C.
Second Chance
chosen
"Second Chance" is a popular rock ballad by the American band Shinedown, known for its introspective lyrics about personal growth and moving on from the past.
-
D.
2nd Chance
2nd Chance is the second novel in James Patterson’s Women’s Murder Club crime thriller series, following a team of women professionals who work together to solve a string of brutal murders.
-
E.
Second Chances
Second Chances is a book authored by Patricia Southall that reflects her personal journey and insights on faith, resilience, and starting over.
- 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b70101208190a77bf5dd53dce37a |
completed | April 22, 2026, 11:54 a.m. |
Created at: April 16, 2026, 6:05 p.m.