Triple
T7558025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Devil and Daniel Webster |
E178721
|
entity |
| Predicate | musicScoreBy |
P77605
|
FINISHED |
| Object | Bernard Herrmann |
E55685
|
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: Bernard Herrmann | Statement: [The Devil and Daniel Webster, musicScoreBy, Bernard Herrmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernard Herrmann Context triple: [The Devil and Daniel Webster, musicScoreBy, Bernard Herrmann]
-
A.
Bernard Herrmann
chosen
Bernard Herrmann was an influential American composer best known for his innovative and dramatic film scores, including his landmark collaborations with directors Orson Welles and Alfred Hitchcock.
-
B.
Miklós Rózsa
Miklós Rózsa was a Hungarian-American composer renowned for his influential and Oscar-winning film scores during Hollywood’s Golden Age, including classics like Ben-Hur and Double Indemnity.
-
C.
Franz Waxman
Franz Waxman was a German-American composer renowned for his influential and Oscar-winning film scores during Hollywood's Golden Age.
-
D.
Elmer Bernstein
Elmer Bernstein was an American composer renowned for his prolific and influential film scores across genres, including classics like "The Ten Commandments," "The Magnificent Seven," and "To Kill a Mockingbird."
-
E.
Max Steiner
Max Steiner was an Austrian-American composer and conductor renowned as one of the founding fathers of film music, scoring classics such as Gone with the Wind and Casablanca.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicScoreBy Context triple: [The Devil and Daniel Webster, musicScoreBy, Bernard Herrmann]
-
A.
hasSheetMusicAvailability
Indicates that there exists accessible sheet music associated with the referenced musical work or performance.
-
B.
musicElement
Indicates a relationship where something functions as a component or structural unit within a piece of music or musical composition.
-
C.
musicalSymbol
Indicates that one entity is a musical notation mark or sign associated with another entity in a musical context.
-
D.
musicKey
Indicates the musical key in which a piece of music, passage, or section is composed or performed.
-
E.
musicInstrumentation
Indicates the specific instruments or instrumental forces used to perform a piece of music.
- 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_69c69f2da22c8190a50942ac20af70e8 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8db3d508190850ed41854d69838 |
completed | March 27, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870780d24819095196cd3a22bec5a |
completed | March 29, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_69c6f4dc485c819080da13e3b7f4f08f |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f59517648190ac0a9e9cba045dd5 |
completed | March 27, 2026, 9:24 p.m. |
Created at: March 27, 2026, 3:50 p.m.