Triple
T14484386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Rank |
E359189
|
entity |
| Predicate | fatherCharacterization |
P67476
|
FINISHED |
| Object | morally dissolute |
—
|
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: morally dissolute | Statement: [Dr. Rank, fatherCharacterization, morally dissolute]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fatherCharacterization Context triple: [Dr. Rank, fatherCharacterization, morally dissolute]
-
A.
fatherFigure
Indicates a relationship where one entity serves in a paternal or mentoring role toward another, providing guidance, support, or care similar to that of a father.
-
B.
plotCharacter
Indicates a relationship where a character plays a role or participates in the narrative plot of a story or work.
-
C.
APACharacteristics
chosen
Indicates that one entity specifies or describes the attributes, features, or properties of another entity.
-
D.
characterResolution
Indicates the process or outcome by which a character’s conflicts, arcs, or internal struggles are brought to a conclusion or clarified within a narrative.
-
E.
relationshipCharacterizedAs
Indicates that one relationship is described, defined, or typified in terms of another specified characteristic or relational type.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924d7f4c8190b1f62b5ffe1ff649 |
completed | April 14, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c487b4c819097803e58dca628a5 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:20 a.m.