Triple
T30152790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Creed |
E766436
|
entity |
| Predicate | hasPsychologicalImpact |
P168493
|
FINISHED |
| Object | nightmares |
—
|
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: nightmares | Statement: [Rachel Creed, hasPsychologicalImpact, nightmares]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPsychologicalImpact Context triple: [Rachel Creed, hasPsychologicalImpact, nightmares]
-
A.
hasPsychologicalCondition
Indicates that an entity experiences or is diagnosed with a particular psychological or mental health condition.
-
B.
hasPsychologicalDepth
Indicates that an entity (such as a work, character, or portrayal) exhibits complex, nuanced inner life, motivations, and emotions that invite deeper psychological interpretation.
-
C.
hasPsychiatricComponent
Indicates that something includes, involves, or is associated with a psychiatric aspect, factor, or condition as part of its overall nature or composition.
-
D.
hasImpactScale
Indicates the degree or magnitude of impact that one entity or action has on another, typically expressed along a defined scale.
-
E.
canImpact
Indicates that one entity has the potential or ability to affect, influence, or cause a change in another entity.
- 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_69f22479cd088190ab4c6f3fce39d1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67ed4df5081908d1431e3a1a1fb0e |
completed | May 2, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69f673c7a4588190837854f3ef61e6bf |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f6749f205c81909d1aacf462912eee |
completed | May 2, 2026, 10:03 p.m. |
Created at: April 29, 2026, 7:20 p.m.