Triple

T21426629
Position Surface form Disambiguated ID Type / Status
Subject Sequenza I E528573 entity
Predicate titleTranslation P38 FINISHED
Object Sequence I
Sequence I is a solo flute composition by Luciano Berio, renowned for its virtuosic demands and exploration of extended instrumental techniques.
 E1483330 NE FINISHED

How this triple was built (4 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: Sequence I | Statement: [Sequenza I, titleTranslation, Sequence I]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sequence I
Context triple: [Sequenza I, titleTranslation, Sequence I]
  • A. Sequence
    Sequence is a fundamental Swift protocol that represents a series of values that can be iterated over one at a time.
  • B. Series I
    Series I is a set of ITU-T telecommunications standards focused on integrated services digital networks (ISDN) and related signaling and network aspects.
  • C. Series I
    Series I is the first generation of the Fairlight CMI digital sampling synthesizer, notable for pioneering computer-based music production in the late 1970s and early 1980s.
  • D. SEQU
    SEQU was the former IATA airport code for Mariscal Sucre International Airport, the old main airport serving Quito, Ecuador before its closure and replacement.
  • E. Serial
    Serial is a groundbreaking investigative journalism podcast that popularized long-form, serialized true-crime storytelling in audio form.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Sequence I
Triple: [Sequenza I, titleTranslation, Sequence I]
Generated description
Sequence I is a solo flute composition by Luciano Berio, renowned for its virtuosic demands and exploration of extended instrumental techniques.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sequence I
Target entity description: Sequence I is a solo flute composition by Luciano Berio, renowned for its virtuosic demands and exploration of extended instrumental techniques.
  • A. Sequence
    Sequence is a fundamental Swift protocol that represents a series of values that can be iterated over one at a time.
  • B. Series I
    Series I is a set of ITU-T telecommunications standards focused on integrated services digital networks (ISDN) and related signaling and network aspects.
  • C. Series I
    Series I is the first generation of the Fairlight CMI digital sampling synthesizer, notable for pioneering computer-based music production in the late 1970s and early 1980s.
  • D. SEQU
    SEQU was the former IATA airport code for Mariscal Sucre International Airport, the old main airport serving Quito, Ecuador before its closure and replacement.
  • E. Serial
    Serial is a groundbreaking investigative journalism podcast that popularized long-form, serialized true-crime storytelling in audio form.
  • F. None of above. chosen

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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee813c7a048190a400e364c8df1dcf completed April 26, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09c2a81ef08190a232757cf8785858 completed May 17, 2026, 1:29 p.m.
NEDg Description generation batch_6a09c36e90dc8190b5628ddef17c9796 completed May 17, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_6a09c3e4d2c881908b3438eebbd409f0 completed May 17, 2026, 1:34 p.m.
Created at: April 16, 2026, 5:49 p.m.