Triple
T33598050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alex Lippi |
E860629
|
entity |
| Predicate | settingOfMainJob |
P167348
|
FINISHED |
| Object | Monaco luxury environment |
—
|
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: Monaco luxury environment | Statement: [Alex Lippi, settingOfMainJob, Monaco luxury environment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfMainJob Context triple: [Alex Lippi, settingOfMainJob, Monaco luxury environment]
-
A.
settingOfWork
Indicates the place, time, or environment in which a creative work’s narrative or events are situated.
-
B.
settingOfCareer
Indicates the primary environment, context, or domain in which a person’s career takes place or is situated.
-
C.
workSetting
Indicates the environment, context, or conditions in which the work or activity is carried out.
-
D.
occupationSetting
chosen
Indicates the typical environment or context in which an occupation is performed.
-
E.
currentPrimaryRole
Indicates the role an entity is presently holding as its main or most important function or position.
- 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_69f3497f35908190a2e9bbb9b96c7a3f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
Created at: May 1, 2026, 1:41 a.m.