Triple
T8431000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Sugar |
E199112
|
entity |
| Predicate | notableProductionFeature |
P69478
|
FINISHED |
| Object | all episodes directed by women |
—
|
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: all episodes directed by women | Statement: [Queen Sugar, notableProductionFeature, all episodes directed by women]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableProductionFeature Context triple: [Queen Sugar, notableProductionFeature, all episodes directed by women]
-
A.
notableFeatureOn
Indicates that one entity is a prominent or distinguishing feature located on or part of another entity.
-
B.
notableProductionType
Indicates that the subject is particularly known for producing or creating instances of the specified type.
-
C.
notableFeat
Indicates that an entity is recognized for having achieved or performed a particularly significant or distinguished feat.
-
D.
notableStyleFeature
Indicates that an entity possesses a distinctive stylistic characteristic or design element that is especially noteworthy or defining.
-
E.
productionFeature
chosen
Indicates that something is a characteristic, element, or attribute involved in the process or method of producing something.
- 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe30fba4081908bfdef3faf5baceb |
completed | March 31, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69cbd0ec200c8190b0299e2b0b4bdcc2 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:07 p.m.