Triple
T36735576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Abide |
E907462
|
entity |
| Predicate | composedByGender |
P81870
|
FINISHED |
| Object | female composer |
—
|
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: female composer | Statement: [Love Abide, composedByGender, female composer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: composedByGender Context triple: [Love Abide, composedByGender, female composer]
-
A.
composedBy
Indicates that one entity is the creator or author of a musical or artistic work associated with another entity.
-
B.
hasPerformerGenderComposition
chosen
Indicates the gender makeup of the group of performers involved in an event or performance.
-
C.
composedIn
Indicates that a creative work was written or musically composed within a particular place or during a specific time period.
-
D.
composedForMusicBy
Indicates that a musical work was specifically created or written by a particular composer.
-
E.
composedTo
Indicates that one entity created or authored another entity, typically a work such as a piece of music, writing, or art.
- 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_69f76e75aa6881909b844d00a3888ee5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fde49a084081909d99b1e0258169d5 |
completed | May 8, 2026, 1:26 p.m. |
| PD | Predicate disambiguation | batch_69fde1d04bd881909a46ecbbf18dfe59 |
completed | May 8, 2026, 1:14 p.m. |
Created at: May 3, 2026, 4:12 p.m.