Triple
T31104718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mother of the Kwisatz Haderach |
E792762
|
entity |
| Predicate | typicalAllegiance |
P207354
|
FINISHED |
| Object | Bene Gesserit long-term plans |
—
|
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: Bene Gesserit long-term plans | Statement: [Mother of the Kwisatz Haderach, typicalAllegiance, Bene Gesserit long-term plans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAllegiance Context triple: [Mother of the Kwisatz Haderach, typicalAllegiance, Bene Gesserit long-term plans]
-
A.
namedForAllegiance
Indicates that an entity is named in reference to, or in honor of, a particular allegiance, affiliation, or loyalty.
-
B.
countryOfAllegiance
Indicates the country to which an entity owes loyalty, support, or official allegiance.
-
C.
stateAllegiance
Indicates that one entity formally declares loyalty or support to another entity, such as a person, group, or state.
-
D.
hadAllegiance
Indicates that an entity was loyally committed or formally bound in support or service to another entity, such as a person, group, or cause.
-
E.
allegiance
Indicates a relationship where one entity is loyal, committed, or obligated in support or service to another entity.
- 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_69f224cfd5d881908ec6447bc321cd58 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7ee0388190a29faeb5cdb0950a |
completed | May 12, 2026, 7:16 p.m. |
Created at: April 29, 2026, 9:03 p.m.