Triple

T25192291
Position Surface form Disambiguated ID Type / Status
Subject Titipu E630902 entity
Predicate hasMusicalNumbersSetIn P115418 FINISHED
Object “Behold the Lord High Executioner”
“Behold the Lord High Executioner” is a comic patter song from Gilbert and Sullivan’s operetta *The Mikado*, sung by the character Ko-Ko as he gleefully presents his list of potential execution victims.
E1666925 NE FINISHED

How this triple was built (3 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: “Behold the Lord High Executioner” | Statement: [Titipu, hasMusicalNumbersSetIn, “Behold the Lord High Executioner”]
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: “Behold the Lord High Executioner”
Triple: [Titipu, hasMusicalNumbersSetIn, “Behold the Lord High Executioner”]
Generated description
“Behold the Lord High Executioner” is a comic patter song from Gilbert and Sullivan’s operetta *The Mikado*, sung by the character Ko-Ko as he gleefully presents his list of potential execution victims.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMusicalNumbersSetIn
Context triple: [Titipu, hasMusicalNumbersSetIn, “Behold the Lord High Executioner”]
  • A. hasMusicalNumberIn chosen
    Indicates that a musical number (song or performance) appears within or is featured in a specific work, scene, or production.
  • B. hasMusical
    Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
  • C. hasMusicalSettingsBy
    Indicates that a work has been set to music or musically arranged by a specified creator or composer.
  • D. hasMusicalForm
    Indicates that one entity (typically a musical work or piece) is characterized by or structured according to a particular musical form.
  • E. hasEnsembleNumbers
    Indicates that an entity is associated with one or more ensemble numbers used to identify it within a grouped or collective context.
  • F. None of above.

Provenance (6 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_69e75a8a6d088190ba1e82a4345225e7 completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f6430a93a48190854ce71df680b2fa completed May 2, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a105d26c8648190ad342e031479f049 completed May 22, 2026, 1:41 p.m.
NEDg Description generation batch_6a105df5bf44819082f76c7e8c6728b2 completed May 22, 2026, 1:45 p.m.
NED2 Entity disambiguation (via description) batch_6a105f5aa33c819098ce8cc50b09ee62 completed May 22, 2026, 1:51 p.m.
PD Predicate disambiguation batch_69f641da05b881909f6283c988639c53 completed May 2, 2026, 6:26 p.m.
Created at: April 21, 2026, 12:45 p.m.