Triple
T5024372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hannah |
E112936
|
entity |
| Predicate | songParallels |
P2152
|
FINISHED |
| Object | themes later echoed in the Magnificat |
—
|
LITERAL 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: themes later echoed in the Magnificat | Statement: [Hannah, songParallels, themes later echoed in the Magnificat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: songParallels Context triple: [Hannah, songParallels, themes later echoed in the Magnificat]
-
A.
parallelSongInFilm
Indicates that a song is used in a film in a way that parallels or mirrors another narrative, emotional, or visual element within that film.
-
B.
associatedMusic
chosen
Indicates a relationship where one entity is linked to or connected with a piece of music, such as being used by, related to, or thematically tied to that music.
-
C.
songAbout
Indicates that one entity (typically a song) has content, lyrics, or themes that are focused on, describe, or are dedicated to another entity.
-
D.
songFunction
Indicates the role or purpose a song serves within a larger context, such as a performance, narrative, or musical structure.
-
E.
tracks
Indicates that one entity monitors, follows, or keeps a record of another entity’s state, behavior, or progress over time.
- F. None of above.
Provenance (3 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd736852e88190b69d6561ca7604c3 |
completed | March 20, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69bd71509e9c8190a60c1d8d04936a12 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:36 p.m.