Triple
T13888949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheelam Param Bhushanam |
E333919
|
entity |
| Predicate | interpretiveMeaning |
P103900
|
FINISHED |
| Object | Character is the highest virtue |
—
|
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: Character is the highest virtue | Statement: [Sheelam Param Bhushanam, interpretiveMeaning, Character is the highest virtue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interpretiveMeaning Context triple: [Sheelam Param Bhushanam, interpretiveMeaning, Character is the highest virtue]
-
A.
intendedInterpretation
Indicates that one entity is meant to be understood or interpreted in a particular way, sense, or meaning relative to another.
-
B.
logicalMeaning
Indicates that one entity expresses, encodes, or conveys the logical content, implication, or formal meaning of another.
-
C.
stringMeaning
Indicates that one entity represents the semantic content or interpretation of a given string associated with another entity.
-
D.
textMeaning
chosen
Indicates that one text expresses, conveys, or corresponds to a particular meaning or semantic content.
-
E.
figurativeMeaning
Indicates that one entity is used in a non-literal, metaphorical, or symbolic sense to convey a meaning about another entity or concept.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a281e481908a6184bcd7f59c03 |
completed | April 14, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69dd464b1ab48190ae50bfc902bf6ef7 |
completed | April 13, 2026, 7:38 p.m. |
Created at: April 9, 2026, 10:15 p.m.