Triple
T36320720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mors et Terror |
E894323
|
entity |
| Predicate | TerrorMeaning |
P184711
|
FINISHED |
| Object | Terror |
—
|
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: Terror | Statement: [Mors et Terror, TerrorMeaning, Terror]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: TerrorMeaning Context triple: [Mors et Terror, TerrorMeaning, Terror]
-
A.
typicalMeaning
Indicates that something represents the usual, characteristic, or most common meaning or interpretation associated with something else.
-
B.
etMeaning
Indicates that one entity expresses or conveys the semantic content or intended sense of another entity (such as a word, phrase, or symbol).
-
C.
duxMeaning
chosen
Indicates that one entity represents or conveys the meaning or definition of another entity.
-
D.
objectMeaning
Indicates that one entity represents, expresses, or conveys the meaning or semantic content of another entity.
-
E.
shieldMeaning
Indicates that one entity serves to protect, guard, or defend another entity from harm, danger, or adverse effects.
- 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_69f76e4d1a788190a6ab6ccca28547a7 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:09 p.m.