Triple
T18428476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Llorona (Chilote variant) |
E450199
|
entity |
| Predicate | effectOnWitness |
P58916
|
FINISHED |
| Object | fear |
—
|
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: fear | Statement: [La Llorona (Chilote variant), effectOnWitness, fear]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnWitness Context triple: [La Llorona (Chilote variant), effectOnWitness, fear]
-
A.
testimonyAffects
Indicates that one party’s testimony has an influence or impact on another entity, situation, or outcome.
-
B.
witnesses
Indicates that one entity observes an event, action, or situation involving another entity, typically as a bystander or observer.
-
C.
effectOnUser
Indicates how an action, event, or condition influences or impacts a user.
-
D.
effectOnOthers
chosen
Indicates the impact or influence that one entity’s actions, presence, or state has on other entities.
-
E.
notableWitness
Indicates that one entity is a significant or prominent witness to an event, action, or situation involving another entity.
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51b14c4d481909af975575a43c4e1 |
completed | April 19, 2026, 6:12 p.m. |
| PD | Predicate disambiguation | batch_69e469bf7f74819096a01173493412c2 |
completed | April 19, 2026, 5:35 a.m. |
Created at: April 10, 2026, 11:25 a.m.