Triple
T9341974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Jessica |
E224783
|
entity |
| Predicate | geneticProgramRole |
P68445
|
FINISHED |
| Object | Key figure in Bene Gesserit breeding program |
—
|
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: Key figure in Bene Gesserit breeding program | Statement: [Lady Jessica, geneticProgramRole, Key figure in Bene Gesserit breeding program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geneticProgramRole Context triple: [Lady Jessica, geneticProgramRole, Key figure in Bene Gesserit breeding program]
-
A.
roleInEngine
Indicates the specific function or responsibility an entity has within an engine or engine-like system.
-
B.
algorithmDesigner
Indicates that one entity is responsible for creating or designing algorithms used by another entity or within a particular system.
-
C.
designedRole
Indicates that one entity has been created, configured, or intended to serve a particular function, purpose, or role in relation to another entity.
-
D.
biologicalRole
chosen
Indicates the functional role or purpose that one biological entity has in relation to another or within a biological process.
-
E.
roleInToolchain
Indicates that an entity serves a specific function or position within a larger sequence of tools or processes in a toolchain.
- 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.