Triple

T36866700
Position Surface form Disambiguated ID Type / Status
Subject Robin Sachs E911102 entity
Predicate notableRole P22 FINISHED
Object General Sarris in Galaxy Quest
General Sarris in Galaxy Quest is the ruthless alien warlord antagonist who menaces the Thermians and the Galaxy Quest crew in the sci-fi comedy film.
E2203453 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: General Sarris in Galaxy Quest | Statement: [Robin Sachs, notableRole, General Sarris in Galaxy Quest]
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: General Sarris in Galaxy Quest
Triple: [Robin Sachs, notableRole, General Sarris in Galaxy Quest]
Generated description
General Sarris in Galaxy Quest is the ruthless alien warlord antagonist who menaces the Thermians and the Galaxy Quest crew in the sci-fi comedy film.

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_69f76e80f6f0819091cba8e19b269615 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7cfefcc1c8190b307d550cafaba98 completed May 3, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dfae4007c819090d9b60a4f89bd59 completed June 26, 2026, 4:07 a.m.
NEDg Description generation batch_6a3e01beddc88190be3485eada3b9de9 completed June 26, 2026, 4:36 a.m.
NED2 Entity disambiguation (via description) batch_6a3e0a67077c8190878fcee9afd52519 completed June 26, 2026, 5:13 a.m.
Created at: May 3, 2026, 4:13 p.m.