Triple
T19072171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parable of the Weeds |
E466817
|
entity |
| Predicate | interpretsWeedsAs |
P134195
|
FINISHED |
| Object | children of the evil one |
—
|
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: children of the evil one | Statement: [Parable of the Weeds, interpretsWeedsAs, children of the evil one]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interpretsWeedsAs Context triple: [Parable of the Weeds, interpretsWeedsAs, children of the evil one]
-
A.
weedStatus
Indicates whether an entity is classified or treated as a weed, typically in the context of management, control, or ecological status.
-
B.
isNonIntoxicating
Indicates that something does not cause intoxication or impair a person's mental or physical faculties.
-
C.
isPsychoactive
Indicates that a substance or agent has effects on the mind or nervous system that can alter perception, mood, consciousness, cognition, or behavior.
-
D.
containsAlkaloids
Indicates that a substance, organism, or material has alkaloid compounds present within it.
-
E.
isMedicinalPlant
Indicates that a plant is used for medicinal purposes, such as treating, preventing, or alleviating health conditions.
- F. None of above. chosen
Provenance (4 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e19fa6948190bdf8e8ec022e12f2 |
completed | April 20, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69e4b99f602881909eeb9c780597e0e6 |
completed | April 19, 2026, 11:16 a.m. |
| PDg | Predicate description generation | batch_69e4bfe8a06081909fd5c28a33e9f218 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:04 p.m.