Triple
T29530142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Things Majestic |
E749176
|
entity |
| Predicate | hasComposerGender |
P202343
|
FINISHED |
| Object | female |
—
|
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 | Statement: [All Things Majestic, hasComposerGender, female]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComposerGender Context triple: [All Things Majestic, hasComposerGender, female]
-
A.
hasPerformerGender
Indicates that an action, event, or performance is associated with the gender of the performer who carries it out.
-
B.
hasPerformerGenderComposition
Indicates the gender makeup of the group of performers involved in an event or performance.
-
C.
producerGender
Indicates that a producer has a specified gender in the context of a production or work.
-
D.
hasGenreAsComposer
Indicates that an entity, in its role as a composer, is associated with a specific musical or artistic genre.
-
E.
hasAuthorGender
Indicates that an entity (such as a work or publication) is associated with an author of a specified gender.
- F. None of above. chosen
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_69f0bd46d99c81908ba9d01cc1dbef7d |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_6a0075be7f54819081ab12bc1dab53bb |
completed | May 10, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_6a0073a19030819098c23faa3adcb96e |
completed | May 10, 2026, 12:01 p.m. |
| PDg | Predicate description generation | batch_6a0075bd35e08190b604777ae9fbbe4b |
completed | May 10, 2026, 12:10 p.m. |
Created at: April 28, 2026, 4:52 p.m.