Triple
T3285321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carmen |
E68965
|
entity |
| Predicate | healthStatus |
P33305
|
FINISHED |
| Object | fragile health |
—
|
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: fragile health | Statement: [Carmen, healthStatus, fragile health]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: healthStatus Context triple: [Carmen, healthStatus, fragile health]
-
A.
healthIndicator
chosen
Indicates a measure or signal that reflects the health status or condition of an entity.
-
B.
healthProxy
Indicates that one entity is authorized to make health-related or medical decisions on behalf of another entity.
-
C.
publicHealthResponse
Indicates actions and measures taken by authorities or organizations to prevent, control, or mitigate health threats within a population.
-
D.
hasHealthConcern
Indicates that an entity has a specific health-related issue, condition, or concern associated with it.
-
E.
healthEffect
Indicates the impact or consequence that one entity has on the health or well-being of another.
- 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_69ad859c463481909ca4be267336c290 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb03918c48190987d7cfd3bda9716 |
completed | March 8, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69ada421fadc8190b7c7d3c8afd20061 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:10 p.m.