Triple

T31747716
Position Surface form Disambiguated ID Type / Status
Subject Taps E810316 entity
Predicate co-arranger P4873 FINISHED
Object Oliver W. Norton
Oliver W. Norton was an American Civil War bugler and soldier best known for helping shape and popularize the bugle call "Taps."
 E1975616 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: Oliver W. Norton | Statement: [Taps, co-arranger, Oliver W. Norton]
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: Oliver W. Norton
Triple: [Taps, co-arranger, Oliver W. Norton]
Generated description
Oliver W. Norton was an American Civil War bugler and soldier best known for helping shape and popularize the bugle call "Taps."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: co-arranger
Context triple: [Taps, co-arranger, Oliver W. Norton]
  • A. hasArranger chosen
    Indicates that one entity serves as the arranger (e.g., musically or structurally) for another entity, such as a work, performance, or composition.
  • B. musicalArrangement
    Indicates that one entity is an arrangement or adaptation of another musical work.
  • C. coComposer
    Indicates a relationship where two or more entities jointly compose a musical or artistic work together.
  • D. coCreator
    Indicates that two or more entities jointly created or produced something together.
  • E. hasCoComposer
    Indicates that an entity shares authorship of a musical composition with one or more other composers.
  • 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_69f348e233cc819083b6695f70cd75d8 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6ab5085f08190ae20fb000bbc2991 completed May 3, 2026, 1:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b948524848190967dd21254f57026 completed June 12, 2026, 5:09 a.m.
NEDg Description generation batch_6a2b958e9ebc81909225029c40526808 completed June 12, 2026, 5:13 a.m.
NED2 Entity disambiguation (via description) batch_6a2b961cb34081909831c49b6c0ae48f completed June 12, 2026, 5:16 a.m.
PD Predicate disambiguation batch_69f6aa20a1588190a53533fc9764efb2 completed May 3, 2026, 1:51 a.m.
Created at: April 30, 2026, 11:27 p.m.