Triple
T29081476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Life and Hard Times of Guy Terrifico |
E733994
|
entity |
| Predicate | country music film},{ |
P198383
|
FINISHED |
| Object | Canadian film |
—
|
LITERAL 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: Canadian film | Statement: [The Life and Hard Times of Guy Terrifico, country music film},{, Canadian film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: country music film},{
Context triple: [The Life and Hard Times of Guy Terrifico, country music film},{, Canadian film]
-
A.
countryMusicClassic
Indicates that something is recognized as a classic work or exemplar within the genre of country music.
-
B.
HankWilliamsVersionGenre
Indicates that a particular version or recording by Hank Williams belongs to a specified musical genre.
-
C.
country music duo
Indicates a relationship where two musicians are jointly associated as a performing pair specializing in country music.
-
D.
originalBroadwayCountry
Indicates the country in which a production’s original Broadway staging took place.
-
E.
RebaMcEntireCoverGenre
Indicates that the subject is a cover version of a song performed by Reba McEntire and specifies the musical genre of that cover.
- F. None of above. chosen
Provenance (4 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_69f05b0c0f28819086eae6e84f2ae472 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fee0b2da3c8190a3519d0564f2f32d |
completed | May 9, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69fee05b315c819081dfcbfb15273487 |
completed | May 9, 2026, 7:20 a.m. |
| PDg | Predicate description generation | batch_69fee0b03a0c81909117dc5915d77295 |
completed | May 9, 2026, 7:22 a.m. |
Created at: April 28, 2026, 10:55 a.m.