Triple

T38290351
Position Surface form Disambiguated ID Type / Status
Subject Sjón E1022342 entity
Predicate notableWork P4 FINISHED
Object Moonstone: The Boy Who Never Was
Moonstone: The Boy Who Never Was is a short, lyrical novel by Icelandic author Sjón that follows a queer adolescent in 1918 Reykjavík amid the Spanish flu pandemic and the arrival of cinema.
 E2264674 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: Moonstone: The Boy Who Never Was | Statement: [Sjón, notableWork, Moonstone: The Boy Who Never Was]
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: Moonstone: The Boy Who Never Was
Triple: [Sjón, notableWork, Moonstone: The Boy Who Never Was]
Generated description
Moonstone: The Boy Who Never Was is a short, lyrical novel by Icelandic author Sjón that follows a queer adolescent in 1918 Reykjavík amid the Spanish flu pandemic and the arrival of cinema.

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_69f76df190f081908d5aa02c8a9286d0 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fcc5de7410819086841403c34b266b completed May 7, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a419dfd0d3c8190a6eaff59006d5ef5 completed June 28, 2026, 10:19 p.m.
NEDg Description generation batch_6a419f35f0f481908fb770eac6fe5087 completed June 28, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_6a419fa35dc88190aeff12a429dfc3af completed June 28, 2026, 10:26 p.m.
Created at: May 3, 2026, 4:30 p.m.