Triple
T12925607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Idol season 4 |
E309236
|
entity |
| Predicate | winnerProfession |
P107055
|
FINISHED |
| Object | country singer |
—
|
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: country singer | Statement: [American Idol season 4, winnerProfession, country singer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerProfession Context triple: [American Idol season 4, winnerProfession, country singer]
-
A.
winnerProfessionalPartner
Indicates that one entity is the professional partner of the winning participant in a competition or contest.
-
B.
winnerWork
Indicates that a particular work (such as a book, film, or piece of art) is the one that won a specified award or competition.
-
C.
winnerCreditedAs
Indicates the name or designation under which the winner is officially recorded or credited for a particular award, contest, or achievement.
-
D.
winnerMake
Indicates that one entity causes or brings about another entity becoming the winner in a contest, competition, or selection process.
-
E.
winnerProgram
Indicates that a program has achieved winning status in a competition, contest, or selection process.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971eb17c88190bf523da897172a0c |
completed | April 10, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69d96fab4d0881909a7a4d66bab9aa85 |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d970f6f5748190ad35aff801db53d5 |
completed | April 10, 2026, 9:51 p.m. |
Created at: April 9, 2026, 5:42 p.m.