Triple
T20240160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frau Frieda |
E498261
|
entity |
| Predicate | makesLivingFrom |
P139364
|
FINISHED |
| Object | interpreting dreams |
—
|
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: interpreting dreams | Statement: [Frau Frieda, makesLivingFrom, interpreting dreams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: makesLivingFrom Context triple: [Frau Frieda, makesLivingFrom, interpreting dreams]
-
A.
receivesLivingFrom
Indicates that one entity obtains or is given a living organism or life-sustaining resource from another entity.
-
B.
isLiving
Indicates that an entity is currently alive or possesses life.
-
C.
living
Indicates that an entity is alive or currently exists in a living state.
-
D.
builtFrom
Indicates that one entity is constructed, composed, or formed using another entity as its material, component, or source.
-
E.
lifeInferredFrom
Indicates that the existence or presence of life is concluded indirectly from observed evidence or conditions rather than directly observed.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6716dd0b081909d4063150cdc0c02 |
completed | April 20, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69e55b1b23f88190bdcbe2f81dd226dd |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56702ad04819099c1c08f28d16809 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:40 p.m.