Triple
T20808099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Women |
E512218
|
entity |
| Predicate | castCharacteristic |
P141905
|
FINISHED |
| Object | no male roles on stage |
—
|
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: no male roles on stage | Statement: [The Women, castCharacteristic, no male roles on stage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: castCharacteristic Context triple: [The Women, castCharacteristic, no male roles on stage]
-
A.
castFeature
Indicates that a particular actor or performer is part of the cast for a given feature (such as a film, show, or other production).
-
B.
callCharacteristic
Indicates a defining quality, feature, or attribute associated with a particular call or calling event.
-
C.
recordingCharacteristic
Indicates the specific qualities or attributes of how something is recorded, such as its format, medium, or technical properties.
-
D.
eraCharacteristic
Indicates that a particular quality, feature, or attribute is characteristic of, or typically associated with, a given historical or temporal era.
-
E.
codeCharacteristic
Indicates that one piece of code possesses a specific property, feature, or quality in relation to another referenced aspect.
- 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2d0a2a081908fb0e3d890e87aaf |
completed | April 21, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69e5c99ca55481908e8d434fa901cfd6 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53c4d6881909b4d0a716fa5ed4a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:40 p.m.