Triple
T15396862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catalina de Aragón |
E368197
|
entity |
| Predicate | causaDeMuerte |
P144
|
FINISHED |
| Object | probablemente cáncer |
—
|
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: probablemente cáncer | Statement: [Catalina de Aragón, causaDeMuerte, probablemente cáncer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causaDeMuerte Context triple: [Catalina de Aragón, causaDeMuerte, probablemente cáncer]
-
A.
causeOfDeath
chosen
Indicates the specific factor, event, or condition that directly resulted in an entity’s death.
-
B.
reasonForDeath
Indicates the cause, circumstance, or condition that led to an entity’s death.
-
C.
deathCharacteristic
Indicates a characteristic, attribute, or quality specifically associated with a death event or the manner in which death occurred.
-
D.
allegedMannerOfDeath
Indicates that the specified manner of death is claimed or reported for an entity, but not confirmed as factual.
-
E.
deathBy
Indicates a relationship where one entity’s death is caused by another entity, event, or factor.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8c5d40819086622b70edcb6294 |
completed | April 16, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69ded27b8cac8190bfa77698d53c5d1c |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:19 a.m.