Triple

T29168613
Position Surface form Disambiguated ID Type / Status
Subject Final Blackout E739389 entity
Predicate plotSummary P264 FINISHED
Object A battle-hardened officer known as The Lieutenant leads a small, disciplined force through the ruins of Europe as governments collapse after decades of war.
Final Blackout is a dystopian science fiction novel by L. Ron Hubbard that follows a hardened military officer known as The Lieutenant as he navigates a devastated, war-torn Europe and confronts the collapse of civilization.
E1852520 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: A battle-hardened officer known as The Lieutenant leads a small, disciplined force through the ruins of Europe as governments collapse after decades of war. | Statement: [Final Blackout, plotSummary, A battle-hardened officer known as The Lieutenant leads a small, disciplined force through the ruins of Europe as governments collapse after decades of war.]
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: A battle-hardened officer known as The Lieutenant leads a small, disciplined force through the ruins of Europe as governments collapse after decades of war.
Triple: [Final Blackout, plotSummary, A battle-hardened officer known as The Lieutenant leads a small, disciplined force through the ruins of Europe as governments collapse after decades of war.]
Generated description
Final Blackout is a dystopian science fiction novel by L. Ron Hubbard that follows a hardened military officer known as The Lieutenant as he navigates a devastated, war-torn Europe and confronts the collapse of civilization.

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_69f07cb6394c8190ab7842c48e699e2a completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f662d7fea0819084e702773edd2bfa completed May 2, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a255073ee108190aa68d6a714112cfa completed June 7, 2026, 11:05 a.m.
NEDg Description generation batch_6a2554568f388190960bbfb09ed37b1d completed June 7, 2026, 11:21 a.m.
NED2 Entity disambiguation (via description) batch_6a2558e69dfc81908eea54a231ab38e7 completed June 7, 2026, 11:41 a.m.
Created at: April 28, 2026, 11:51 a.m.