Triple
T29993598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pray for Me |
E761954
|
entity |
| Predicate | associatedPerformerGender |
P20803
|
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: [Pray for Me, associatedPerformerGender, female]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedPerformerGender Context triple: [Pray for Me, associatedPerformerGender, female]
-
A.
hasPerformerGender
chosen
Indicates that an action, event, or performance is associated with the gender of the performer who carries it out.
-
B.
originalPerformerGender
Indicates the gender of the person who first performed or originated the work, role, or piece.
-
C.
hasPerformerGenderComposition
Indicates the gender makeup of the group of performers involved in an event or performance.
-
D.
producerGender
Indicates that a producer has a specified gender in the context of a production or work.
-
E.
hasComposerGender
Indicates that an entity has a composer whose gender is specified by the related value.
- 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_69f224695498819094a81037cad401e2 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 6:39 p.m.