Triple

T33125857
Position Surface form Disambiguated ID Type / Status
Subject I Hear an Army E847720 entity
Predicate musicalSettingTitle P169933 FINISHED
Object Three Songs, Op. 10
Three Songs, Op. 10 is a song cycle for voice and piano by Samuel Barber, notable for its expressive settings of early 20th-century poetry.
 E2038263 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: Three Songs, Op. 10 | Statement: [I Hear an Army, musicalSettingTitle, Three Songs, Op. 10]
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: Three Songs, Op. 10
Triple: [I Hear an Army, musicalSettingTitle, Three Songs, Op. 10]
Generated description
Three Songs, Op. 10 is a song cycle for voice and piano by Samuel Barber, notable for its expressive settings of early 20th-century poetry.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: musicalSettingTitle
Context triple: [I Hear an Army, musicalSettingTitle, Three Songs, Op. 10]
  • A. musicalSettingMayBe chosen
    Indicates that one entity can serve as a musical setting or arrangement for another (such as a text, work, or performance context).
  • B. notableMusicalSetting
    Indicates that a work or text has been set to music in a particularly significant, recognized, or influential way.
  • C. settingInMusical
    Indicates that one entity serves as the setting or location in which the events of a musical take place.
  • D. sourceMusicalTitle
    Indicates that one musical work is derived from, based on, or uses material from another specified musical title.
  • E. incidentalMusicTitle
    Indicates that a work serves as incidental music for another work and specifies the title of that associated work.
  • 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_69f349588f088190b7c9588860f72033 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fd4f39b5008190b83b3227ce22c509 completed May 8, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a351618f4cc81908c3841284f6993c3 completed June 19, 2026, 10:12 a.m.
NEDg Description generation batch_6a3516f0a8748190bb2a2e6bb7c2b7cd completed June 19, 2026, 10:16 a.m.
NED2 Entity disambiguation (via description) batch_6a35191798188190b1738ac2d2e5e2fd completed June 19, 2026, 10:25 a.m.
PD Predicate disambiguation batch_69fd4df17c548190a4e2a6fea70f7e10 completed May 8, 2026, 2:44 a.m.
Created at: May 1, 2026, 1:27 a.m.