Triple

T32620346
Position Surface form Disambiguated ID Type / Status
Subject Glen Doherty E833903 entity
Predicate notableWork P4 FINISHED
Object The 21st Century Sniper
The 21st Century Sniper is a modern marksmanship and tactics guide co-authored by former Navy SEAL Glen Doherty, focusing on contemporary sniper skills, equipment, and battlefield applications.
E2013715 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 21st Century Sniper | Statement: [Glen Doherty, notableWork, The 21st Century Sniper]
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 21st Century Sniper
Triple: [Glen Doherty, notableWork, The 21st Century Sniper]
Generated description
The 21st Century Sniper is a modern marksmanship and tactics guide co-authored by former Navy SEAL Glen Doherty, focusing on contemporary sniper skills, equipment, and battlefield applications.

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_69f3492ccc80819086ef7d26e9786647 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c6eeda388190844f46fe09e77472 completed May 3, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34861fa3448190a45d24efefaf5f01 completed June 18, 2026, 11:58 p.m.
NEDg Description generation batch_6a34874a518c8190bb26163c01c573a6 completed June 19, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_6a3487d368748190bee74d3738d78a4d completed June 19, 2026, 12:05 a.m.
Created at: May 1, 2026, 1:06 a.m.