Triple
T9341977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Jessica |
E224783
|
entity |
| Predicate | insteadBears |
P6280
|
FINISHED |
| Object | son for Duke Leto Atreides I |
—
|
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: son for Duke Leto Atreides I | Statement: [Lady Jessica, insteadBears, son for Duke Leto Atreides I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: insteadBears Context triple: [Lady Jessica, insteadBears, son for Duke Leto Atreides I]
-
A.
bears
Indicates that one entity carries, supports, or endures the weight, burden, or responsibility of another entity or condition.
-
B.
onlyNativeBearOf
Indicates that one entity is the sole bear species naturally occurring in the specified geographic region or habitat.
-
C.
usedInsteadOf
chosen
Indicates that one entity is employed or chosen as a substitute or replacement for another entity.
-
D.
placedBy
Indicates that one entity was positioned, set, or put in a location or context by another entity.
-
E.
alternativeUsedBy
Indicates that one entity serves as an alternative option or substitute that is used in place of another entity.
- 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_69ca842993248190a79ab06968994b86 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4bb11cd08190b159a6066dd0ebf1 |
completed | April 1, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69cc7a66aef08190b8d668cff5b04f5f |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:40 p.m.