Triple
T25873274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maggie (Tam's horse) |
E651816
|
entity |
| Predicate | moralIllustration |
P46133
|
FINISHED |
| Object | shows that loyalty can save a reckless master |
—
|
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: shows that loyalty can save a reckless master | Statement: [Maggie (Tam's horse), moralIllustration, shows that loyalty can save a reckless master]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moralIllustration Context triple: [Maggie (Tam's horse), moralIllustration, shows that loyalty can save a reckless master]
-
A.
moralPortrayal
Indicates how an entity is depicted in terms of moral qualities, such as virtue, vice, or ethical standing, within a given context.
-
B.
moralTheme
Indicates that a work, event, or situation embodies or conveys a particular ethical lesson, value, or moral principle.
-
C.
virtueIllustrated
chosen
Indicates that an action, example, or situation serves to demonstrate or make clear a particular virtue.
-
D.
moralExemplarOf
Indicates that one entity serves as a model or standard of moral behavior for another entity or group.
-
E.
moralRealization
Indicates the recognition or coming to understand a moral truth, principle, or ethical implication about a situation or action.
- 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_69e7ab3ad9d88190841ddcb93ab02e96 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f602dea1388190a5e8567388c2838a |
completed | May 2, 2026, 1:57 p.m. |
| PD | Predicate disambiguation | batch_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 22, 2026, 8:12 a.m.