Triple
T38252159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Therese Belivet |
E1014078
|
entity |
| Predicate | personalGoal |
P6636
|
FINISHED |
| Object | to become a professional photographer |
—
|
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: to become a professional photographer | Statement: [Therese Belivet, personalGoal, to become a professional photographer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: personalGoal Context triple: [Therese Belivet, personalGoal, to become a professional photographer]
-
A.
goals
chosen
Indicates that an entity has objectives, targets, or desired outcomes it aims to achieve.
-
B.
goalOfRealization
Indicates the intended outcome or objective that an action, process, or plan is meant to bring into reality or achieve.
-
C.
organizationGoal
Indicates that an organization has a specific goal, objective, or intended outcome it aims to achieve.
-
D.
experienceGoal
Indicates that an entity has a desired outcome or objective it aims to achieve through its experiences or actions.
-
E.
goalSettingRole
Indicates a role in which an entity is responsible for defining, influencing, or managing goals for another entity or process.
- 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_69f76dd7e89c8190b7866bc85aea521b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc3321ef081908023590ba70ba0cf |
completed | May 7, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fdc6e08190b05e894c59481a0d |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.