Triple

T26942767
Position Surface form Disambiguated ID Type / Status
Subject Nova Corps E678562 entity
Predicate allegiance P1201 FINISHED
Object Nova Empire
The Nova Empire is a powerful interstellar government in the Marvel universe, known for its advanced technology, vast star-spanning jurisdiction, and reliance on the Nova Corps as its elite peacekeeping force.
E1748699 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: Nova Empire | Statement: [Nova Corps, allegiance, Nova Empire]
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: Nova Empire
Triple: [Nova Corps, allegiance, Nova Empire]
Generated description
The Nova Empire is a powerful interstellar government in the Marvel universe, known for its advanced technology, vast star-spanning jurisdiction, and reliance on the Nova Corps as its elite peacekeeping force.

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_69eeeb4d69588190a7c912164a1c37b3 completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f620822d6081908e38814f5a1c0931 completed May 2, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a121ec8dd10819095cf9f82bee24ca5 completed May 23, 2026, 9:40 p.m.
NEDg Description generation batch_6a121fcbbfa88190920877882c038ac8 completed May 23, 2026, 9:44 p.m.
NED2 Entity disambiguation (via description) batch_6a1220621c4c81909da5a95967d52202 completed May 23, 2026, 9:47 p.m.
Created at: April 27, 2026, 6:19 a.m.