Triple

T24459346
Position Surface form Disambiguated ID Type / Status
Subject Utopia Avenue E616773 entity
Predicate hasCharacter P2308 FINISHED
Object Dean Moss
Dean Moss is a fictional musician and member of the eponymous band in David Mitchell’s novel "Utopia Avenue," embodying the turbulent creativity and personal struggles of the 1960s rock scene.
E1639202 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: Dean Moss | Statement: [Utopia Avenue, hasCharacter, Dean Moss]
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: Dean Moss
Triple: [Utopia Avenue, hasCharacter, Dean Moss]
Generated description
Dean Moss is a fictional musician and member of the eponymous band in David Mitchell’s novel "Utopia Avenue," embodying the turbulent creativity and personal struggles of the 1960s rock scene.

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_69e2d7ef9fe08190a0613908758b4e86 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f298c8d854819091f1d92eef02b1b1 completed April 29, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fee714f7881908a3f446e3964a1d1 completed May 22, 2026, 5:49 a.m.
NEDg Description generation batch_6a0ff0c57b088190b031ea186a987e32 completed May 22, 2026, 5:59 a.m.
NED2 Entity disambiguation (via description) batch_6a0ff16636008190a4267f6b8d8e3bb2 completed May 22, 2026, 6:02 a.m.
Created at: April 18, 2026, 2:19 a.m.