Triple
T11938178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Rojack |
E284103
|
entity |
| Predicate | hasPsychologicalIssue |
P4720
|
FINISHED |
| Object | postwar trauma |
—
|
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: postwar trauma | Statement: [Stephen Rojack, hasPsychologicalIssue, postwar trauma]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPsychologicalIssue Context triple: [Stephen Rojack, hasPsychologicalIssue, postwar trauma]
-
A.
hasIdentityIssues
Indicates that an entity experiences confusion, uncertainty, or conflict regarding its own identity or sense of self.
-
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.
hasHealthConcern
chosen
Indicates that an entity has a specific health-related issue, condition, or concern associated with it.
-
D.
hasMood
Indicates that an entity is experiencing or characterized by a particular emotional or affective state.
-
E.
viewOnPsychology
Indicates that one entity holds a particular perspective, opinion, or theoretical stance regarding the field or subject of psychology.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903094218819092e11b273d87de65 |
completed | April 10, 2026, 2:02 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3af0188190bfb22be5c97b3349 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.