Triple

T26760701
Position Surface form Disambiguated ID Type / Status
Subject Patrick Tilley E674791 entity
Predicate hasWritten P2831 FINISHED
Object The Amtrak Wars: Blood River
The Amtrak Wars: Blood River is a post-apocalyptic science fiction novel by Patrick Tilley, set in a war-torn future America and forming part of his Amtrak Wars series.
E1740837 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: The Amtrak Wars: Blood River | Statement: [Patrick Tilley, hasWritten, The Amtrak Wars: Blood River]
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: The Amtrak Wars: Blood River
Triple: [Patrick Tilley, hasWritten, The Amtrak Wars: Blood River]
Generated description
The Amtrak Wars: Blood River is a post-apocalyptic science fiction novel by Patrick Tilley, set in a war-torn future America and forming part of his Amtrak Wars series.

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_69eecda6e9dc81908452fab3ba17ed9b completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f618dce4908190b36b6a0323603e3e completed May 2, 2026, 3:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12298053f08190b536019bb3c29880 completed May 23, 2026, 10:26 p.m.
NEDg Description generation batch_6a122a2048408190a3a8cf5a2efa9b08 completed May 23, 2026, 10:28 p.m.
NED2 Entity disambiguation (via description) batch_6a122ac1713481909a80761bb471ef49 completed May 23, 2026, 10:31 p.m.
Created at: April 27, 2026, 3:57 a.m.