Triple

T34968776
Position Surface form Disambiguated ID Type / Status
Subject Kazon-Ogla E1008476 entity
Predicate factionOf P2942 FINISHED
Object Kazon Collective
The Kazon Collective is a militaristic, clan-based interstellar society of Kazon sects in the Star Trek: Voyager universe, known for internal rivalries and frequent conflict with other powers.
E2120502 NE 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: Kazon Collective | Statement: [Kazon-Ogla, factionOf, Kazon Collective]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kazon Collective
Triple: [Kazon-Ogla, factionOf, Kazon Collective]
Generated description
The Kazon Collective is a militaristic, clan-based interstellar society of Kazon sects in the Star Trek: Voyager universe, known for internal rivalries and frequent conflict with other powers.

Provenance (5 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_69f76dc78a308190a1ac29ad4a9a4895 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7845ebc54819080d4c92979313d9a completed May 3, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37b271a43c81909262116f2ae05b9f completed June 21, 2026, 9:44 a.m.
NEDg Description generation batch_6a37b38d3bc4819094bf270b456b80b1 completed June 21, 2026, 9:49 a.m.
NED2 Entity disambiguation (via description) batch_6a37b473ee748190b8f75b46a188bf5f completed June 21, 2026, 9:52 a.m.
Created at: May 3, 2026, 4 p.m.