Triple
T18264678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cari Tuna |
E437452
|
entity |
| Predicate | hasGivenFocusArea |
P10167
|
FINISHED |
| Object | global health and development |
—
|
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: global health and development | Statement: [Cari Tuna, hasGivenFocusArea, global health and development]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGivenFocusArea Context triple: [Cari Tuna, hasGivenFocusArea, global health and development]
-
A.
hasProgramFocus
Indicates that an entity (such as a program or initiative) is oriented around or primarily concerned with a particular thematic area, topic, or objective.
-
B.
hasLocationFocus
Indicates that the primary emphasis or relevance of something is centered on a specific location or place.
-
C.
hasActingFocus
Indicates that an entity is the primary performer or focal agent carrying out an action in a given context.
-
D.
hasPrimaryFocus
chosen
Indicates that something is the main subject, concern, or area of attention for an entity or activity.
-
E.
hasMovementFocus
Indicates that an entity’s primary attention, effort, or activity is directed toward movement or locomotion.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff78b188819081da8e1d389c6c79 |
completed | April 19, 2026, 4:14 p.m. |
| PD | Predicate disambiguation | batch_69e44fcdee748190bae6fb76e0cb22f3 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:34 a.m.