Triple
T18233080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Free Yourself |
E436593
|
entity |
| Predicate | basedOnCareerEvent |
P88172
|
FINISHED |
| Object | Fantasia Barrino's American Idol success |
—
|
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: Fantasia Barrino's American Idol success | Statement: [Free Yourself, basedOnCareerEvent, Fantasia Barrino's American Idol success]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnCareerEvent Context triple: [Free Yourself, basedOnCareerEvent, Fantasia Barrino's American Idol success]
-
A.
basedOnCareerOf
chosen
Indicates that something (such as a work, character, or storyline) is derived from, inspired by, or modeled on the career or professional life of a particular person.
-
B.
basedOnProfession
Indicates that the relationship or action is determined or derived from a person’s profession or occupational role.
-
C.
associatedWithCareerOf
Indicates a relationship where something is connected or relevant to a person’s professional life, occupation, or career trajectory.
-
D.
managedCareerOf
Indicates that one entity was responsible for overseeing, directing, or handling the professional career of another entity.
-
E.
basedOnExperience
Indicates that something is determined, chosen, or formed according to prior experience or experiential knowledge.
- F. None of above.
Provenance (3 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f4b414308190bc7dd8e73c0a362c |
completed | April 19, 2026, 3:28 p.m. |
| PD | Predicate disambiguation | batch_69e4332336cc8190808b9c70c888ba65 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:33 a.m.