Triple
T17281797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melih Uzunyol |
E419546
|
entity |
| Predicate | riskFactorForDeath |
P126605
|
FINISHED |
| Object | stressful news coverage assignment |
—
|
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: stressful news coverage assignment | Statement: [Melih Uzunyol, riskFactorForDeath, stressful news coverage assignment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riskFactorForDeath Context triple: [Melih Uzunyol, riskFactorForDeath, stressful news coverage assignment]
-
A.
reasonForDeath
Indicates the cause, circumstance, or condition that led to an entity’s death.
-
B.
causeOfDeath
Indicates the specific factor, event, or condition that directly resulted in an entity’s death.
-
C.
mortalityRate
Indicates the proportion of individuals in a defined population that die within a specified time period.
-
D.
earlyDeath
Indicates that an entity dies sooner than is typical or expected within a given context or population.
-
E.
deathCharacteristic
Indicates a characteristic, attribute, or quality specifically associated with a death event or the manner in which death occurred.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e4332a4c008190b44f4145d0e94a21 |
completed | April 19, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69e3832c3b98819091967ac7e91ba316 |
completed | April 18, 2026, 1:12 p.m. |
| PDg | Predicate description generation | batch_69e3874077948190acf5706cfe917d29 |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:40 a.m.