Triple

T36093273
Position Surface form Disambiguated ID Type / Status
Subject Eimear McBride E1043986 entity
Predicate notableWork P4 FINISHED
Object The Lesser Bohemians
The Lesser Bohemians is a stylistically experimental coming-of-age novel by Irish author Eimear McBride that explores an intense love affair and trauma through fragmented, stream-of-consciousness prose.
 E2168640 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 Lesser Bohemians | Statement: [Eimear McBride, notableWork, The Lesser Bohemians]
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 Lesser Bohemians
Triple: [Eimear McBride, notableWork, The Lesser Bohemians]
Generated description
The Lesser Bohemians is a stylistically experimental coming-of-age novel by Irish author Eimear McBride that explores an intense love affair and trauma through fragmented, stream-of-consciousness prose.

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_69f76e32d60c8190ba781ffaaab4aa3d completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b26970288190b01ac80cadf9b961 completed May 3, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38d546c4d881908854ccadceeefca4 completed June 22, 2026, 6:25 a.m.
NEDg Description generation batch_6a38d5fbbf84819083a18d64edddbbe6 completed June 22, 2026, 6:28 a.m.
NED2 Entity disambiguation (via description) batch_6a38d6a758c08190b24130489eafeb43 completed June 22, 2026, 6:31 a.m.
Created at: May 3, 2026, 4:08 p.m.