Triple

T26617190
Position Surface form Disambiguated ID Type / Status
Subject Carl Lee Hailey E668092 entity
Predicate kills P19780 FINISHED
Object James Louis Willard
James Louis Willard is a fictional character in John Grisham's novel "A Time to Kill," depicted as one of the white assailants whose killing by Carl Lee Hailey triggers the story's central legal and moral conflict.
E1733712 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: James Louis Willard | Statement: [Carl Lee Hailey, kills, James Louis Willard]
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: James Louis Willard
Triple: [Carl Lee Hailey, kills, James Louis Willard]
Generated description
James Louis Willard is a fictional character in John Grisham's novel "A Time to Kill," depicted as one of the white assailants whose killing by Carl Lee Hailey triggers the story's central legal and moral 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_69ee9cfe16088190a3dddd68e3c7b1ea completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f615adea108190900f6809d6cdeb81 completed May 2, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11ec2abb548190938d268fcfa7acdb completed May 23, 2026, 6:04 p.m.
NEDg Description generation batch_6a11ecd9cd6c819081708a8ccf46b3ab completed May 23, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a11ed798a9c8190a3f3af5b000b0dcb completed May 23, 2026, 6:10 p.m.
Created at: April 27, 2026, 2:19 a.m.