Triple

T32067353
Position Surface form Disambiguated ID Type / Status
Subject Sharman Divono E818916 entity
Predicate notableWork P4 FINISHED
Object Alien Nation: The Big Sleep
Alien Nation: The Big Sleep is a science fiction novel set in the Alien Nation universe, expanding the franchise’s blend of police procedural and human–alien cultural conflict.
E2019891 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: Alien Nation: The Big Sleep | Statement: [Sharman Divono, notableWork, Alien Nation: The Big Sleep]
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: Alien Nation: The Big Sleep
Triple: [Sharman Divono, notableWork, Alien Nation: The Big Sleep]
Generated description
Alien Nation: The Big Sleep is a science fiction novel set in the Alien Nation universe, expanding the franchise’s blend of police procedural and human–alien cultural conflict.

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_69f348fecc088190af1470afe5a969f0 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b52037948190b7928563c1d9b20d completed May 3, 2026, 2:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a349e97db348190bb3e0e2aae4617fd completed June 19, 2026, 1:42 a.m.
NEDg Description generation batch_6a34a0590c70819089184be6ef8edfdc completed June 19, 2026, 1:50 a.m.
NED2 Entity disambiguation (via description) batch_6a34a1248dcc8190b754cabe14a9d9ae completed June 19, 2026, 1:53 a.m.
Created at: May 1, 2026, 12:22 a.m.