Triple
T35029897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kazon-Nistrim |
E1010448
|
entity |
| Predicate | originOfMember |
P206818
|
FINISHED |
| Object | Seska (Cardassian spy) joined from USS Voyager |
—
|
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: Seska (Cardassian spy) joined from USS Voyager | Statement: [Kazon-Nistrim, originOfMember, Seska (Cardassian spy) joined from USS Voyager]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originOfMember Context triple: [Kazon-Nistrim, originOfMember, Seska (Cardassian spy) joined from USS Voyager]
-
A.
classOrigin
Indicates the original class or category from which an entity is derived, instantiated, or classified.
-
B.
originatesAs
Indicates that one entity begins, arises, or comes into existence in the form, state, or role specified by another entity.
-
C.
memberOriginalName
Indicates that the relationship specifies the original or former name of a member entity before any renaming or changes.
-
D.
inheritsMembersFrom
Indicates that one entity receives or derives its members, properties, or characteristics from another entity.
-
E.
originOfAliasHolder
Indicates that one entity is the source or origin from which another entity’s alias or alternate name is derived or assigned.
- 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_69f76dccf0108190af43b465d3750196 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:01 p.m.