Triple
T29948483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elisa Brocard |
E760705
|
entity |
| Predicate | hasCareerScope |
P194858
|
FINISHED |
| Object | international level |
—
|
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: international level | Statement: [Elisa Brocard, hasCareerScope, international level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCareerScope Context triple: [Elisa Brocard, hasCareerScope, international level]
-
A.
hasCareerService
Indicates that an entity provides or is associated with a career-related support or advisory service for another entity.
-
B.
hasCareerTrack
Indicates that an entity is associated with or follows a particular career path or professional progression.
-
C.
hasCareerStage
Indicates the specific phase or stage of a person's or entity's professional or occupational progression.
-
D.
isCareerBased
Indicates that something is determined, structured, or oriented around a person’s career or professional path.
-
E.
managedCareerOf
Indicates that one entity was responsible for overseeing, directing, or handling the professional career of another entity.
- 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_69f2246562b881909d57622f4086d43d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
| PDg | Predicate description generation | batch_69fd8ccaee848190acd59d7d643ad062 |
completed | May 8, 2026, 7:12 a.m. |
Created at: April 29, 2026, 6:24 p.m.