Triple
T33125858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Hear an Army |
E847720
|
entity |
| Predicate | musicalSettingComposer |
P47024
|
FINISHED |
| Object | Samuel Barber |
E64325
|
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: Samuel Barber | Statement: [I Hear an Army, musicalSettingComposer, Samuel Barber]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalSettingComposer Context triple: [I Hear an Army, musicalSettingComposer, Samuel Barber]
-
A.
musicalSettingMayBe
Indicates that one entity can serve as a musical setting or arrangement for another (such as a text, work, or performance context).
-
B.
hasMusicalComposer
chosen
Indicates that one entity serves as the musical composer responsible for creating the music associated with another entity.
-
C.
musicalTheatreComposer
Indicates that a person composes music specifically for musical theatre productions.
-
D.
composedForMusicBy
Indicates that a musical work was specifically created or written by a particular composer.
-
E.
dedicatedComposerWork
Indicates that a particular work was specifically created or formally dedicated by the composer to a person, group, or entity.
- F. None of above.
Provenance (4 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_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3525b5922481908cae905de5e55efa |
completed | June 19, 2026, 11:19 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
Created at: May 1, 2026, 1:27 a.m.