Triple
T23261078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Da Drought 2 |
E582010
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Da Drought |
—
|
NE NERFINISHED |
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: Da Drought | Statement: [Da Drought 2, follows, Da Drought]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Da Drought Context triple: [Da Drought 2, follows, Da Drought]
-
A.
Parched
Parched is a 2015 Indian drama film that explores the lives, struggles, and solidarity of rural women confronting patriarchy and social taboos in a conservative village.
-
B.
Dryland
Dryland is the mythic, long-sought island of fertile land in the post-apocalyptic ocean world of the film "Waterworld."
-
C.
Droogte
"Droogte" is a notable Afrikaans literary work by South African writer C. M. van den Heever, recognized for its portrayal of hardship and rural life.
-
D.
Love Drought
"Love Drought" is a moody, atmospheric R&B track by Beyoncé from her critically acclaimed visual album *Lemonade*, exploring themes of vulnerability, reconciliation, and emotional resilience in a troubled relationship.
-
E.
Da Drought 3
chosen
Da Drought 3 is a highly acclaimed 2007 mixtape by Lil Wayne that is often credited with solidifying his reputation as one of the most skilled and prolific rappers of his era.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194c9189c8190a13c17c635227f42 |
completed | April 29, 2026, 5:19 a.m. |
Created at: April 17, 2026, 4:11 p.m.