Triple

T25034509
Position Surface form Disambiguated ID Type / Status
Subject Maurice Leitch E626938 entity
Predicate notableWork P4 FINISHED
Object The Hands of Cheryl Boyd
The Hands of Cheryl Boyd is a work of fiction by Northern Irish writer Maurice Leitch, known for its exploration of complex personal and social themes in a contemporary Irish setting.
 E1663086 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 Hands of Cheryl Boyd | Statement: [Maurice Leitch, notableWork, The Hands of Cheryl Boyd]
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 Hands of Cheryl Boyd
Triple: [Maurice Leitch, notableWork, The Hands of Cheryl Boyd]
Generated description
The Hands of Cheryl Boyd is a work of fiction by Northern Irish writer Maurice Leitch, known for its exploration of complex personal and social themes in a contemporary Irish setting.

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_69e2ff2a2c088190be513727ee8bfe78 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f453035f508190be83a3d521723acf completed May 1, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1048c008688190b8cf55ab96b2268c completed May 22, 2026, 12:14 p.m.
NEDg Description generation batch_6a104a6d40f88190941fae4e53c175f7 completed May 22, 2026, 12:22 p.m.
NED2 Entity disambiguation (via description) batch_6a104c2d8308819097b21b979944585e completed May 22, 2026, 12:29 p.m.
Created at: April 18, 2026, 6:08 a.m.